What Data Architect Jobs are in Toronto?

At Stantec, we have some of the world's leading professionals passionate about enabling our business to be its best. Our business teams include finance, procurement, human resources, information technology, marketing, corporate development, HSSE, real estate, legal, and practice services. We bring diverse backgrounds, skills, and expertise and create a caring culture where everyone can thrive. Through teamwork and collaboration, we're building a stronger, more resilient Stantec every day.   
We are seeking a Senior Data Architect to join a project team that will be designing new workflows and business processes to optimize and simplify collaboration between Stantec Project Managers and Project Accountants (aka PM2PA). This will involve enhancing and integrating several existing applications (and possibly building new applications) and their databases with a focus on the on-premises Oracle E-Business Suite (EBS) database and potentially integration with Oracle Cloud services in the future.
In this senior-level role, you will drive the strategic data architecture for the PM2PA application. You will be responsible for the design, implementation, and maintenance of the PM2PA data environment - including integration points with our on-premises Oracle EBS system, multiple custom applications and various data sources (including the Stantec Data Store (SDS), a centralized data store with the ability to serve EBS data to consuming applications, and replicate updates back into EBS from those applications).
As a key technical leader, the Senior Data Architect will collaborate with a cross-functional team to align data solutions with PM2PA business objectives, and act as a strategic advisor on leveraging Oracle EBS, various data repositories (e.g., SDS) and potentially cloud technologies to meet the needs of this strategic project. This role requires both deep technical expertise and strong leadership to guide the enterprise through complex data integration and optimization initiatives.
Key Responsibilities
Data Architecture Strategy: Develop and drive the overall data architecture strategy for PM2PA, including designing scalable data models, data integration workflows, and data governance frameworks that meet enterprise standards. Ensure the architecture supports current and future business needs with an emphasis on data quality, consistency, and governance.
Oracle EBS & Cloud Integration: Lead the future integration of PM2PA business processes and workflows with Oracle Fusion Cloud. This includes architecting solutions for data exchange between EBS and Oracle Cloud Infrastructure (OCI) or Oracle Cloud applications, using tools like Oracle Integration Cloud (OIC) or Oracle SOA Suite to ensure seamless end-to-end business processes.
System Performance & Maintenance: Oversee the performance optimization, scalability and reliability of the PM2PA data flows. This may involve tuning Oracle databases or other key data sources, optimizing application performance and planning capacity for growth. Ensure that data storage, indexing, and retrieval mechanisms are efficient and that disaster recovery and high-availability solutions are in place.
Security and Compliance: Ensure robust data security measures and compliance protocols are implemented across PM2PA, Oracle EBS and integrated cloud environments.
Cross-Functional Collaboration: Collaborate closely with other teams - including IT Infrastructure & Operations, Oracle Database Administrators, Software Solutions developers, Business Analysts, and Project Management - to plan and execute PM2PA data-related projects. Act as the bridge between technical teams and business stakeholders for all matters related to PM2PA data, ensuring that technical solutions align with business requirements and timelines. This includes coordinating data migration efforts during EBS upgrades or cloud adoption initiatives and communicating clearly with non-technical stakeholders about data architecture
Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with significant hands-on experience designing and implementing solutions for Oracle E-Business Suite environments. This should include a track record of leading complex integration projects or ERP data initiatives in large organizations.
Oracle EBS Expertise: In-depth knowledge of Oracle E-Business Suite (EBS) R12 modules, database and architecture. The ideal candidate has worked with multiple EBS functional areas - for example, Oracle Financials (GL, AP, AR), Project Billing and Costing, Human Capital Management - and understands their underlying data structures and interdependencies. You should be familiar with the EBS schema, concurrent processing, and EBS configuration from a data perspective.
Data Modelling: Strong data modelling skills, both relational (3NF) and dimensional (star schema) design. Able to design entity-relationship models for complex enterprise data and use data modelling tools to document and communicate these designs. Knowledge of data warehouse architecture and modelling (e.g., facts/dimensions for BI reporting) is important for EBS data extraction and analysis.
Integration & Middleware: Experience with Oracle integration technologies. This may include Oracle Integration Cloud (OIC) for cloud-based integrations, Oracle SOA Suite and Oracle Service Bus for service-oriented architecture, Oracle Data Integrator (ODI) for ETL tasks, and Oracle REST/SOAP APIs. Familiarity with building data interfaces (using XML, RESTful services, etc.) and synchronizing data between EBS and other applications in real-time or batch mode.
Oracle Cloud Infrastructure (OCI): Working knowledge of OCI services and architecture. Experience deploying or managing applications on OCI (compute, storage, networking) and using cloud services such as Oracle Autonomous Data Warehouse (ADW) or Oracle Cloud databases in conjunction with EBS is a plus. Understanding of cloud networking (VPN, FastConnect) for connecting on-premises EBS to Oracle Cloud, and exposure to OCI security and identity management concepts.
Data Management & Governance: Familiarity with enterprise data management tools and practices. Knowledge of data integration techniques, data cleansing, and Master Data Management (MDM) solutions to maintain a single source of truth across systems. Experience establishing data standards, dictionaries, and governance policies for an ERP environment.
Analytics & Reporting Tools: Experience with reporting and analytics tools that complement Oracle EBS. For example, ability to work with Oracle Business Intelligence (OBIEE), Oracle Discoverer (legacy), or Oracle Analytics Cloud to design and deliver reports/dashboards using EBS data. Understanding how to extract and transform EBS data for use in BI platforms, and knowledge of SQL reporting tools or ad-hoc query tools for end-users.
Operating Systems & Scripting: Proficiency in operating the Oracle EBS tech stack on Linux platforms. Able to script and automate tasks (using shell scripting, Python, etc.) for routine maintenance, data file movement, or monitoring. Familiar with tools like AutoConfig, concurrent managers, and other EBS administrative utilities is a plus (though the primary focus is on data, a broad understanding of the application tier helps in designing holistic solutions).
Architecture & Standards: Knowledge of architecture best practices and design patterns, especially in the context of enterprise applications. Familiarity with microservices, API-led architecture, or event-driven architecture is a plus to modernize integration approach. Understanding of TOGAF or similar framework to ensure the architecture aligns with wider enterprise architecture standards is desirable.
Leadership & Communication: Excellent leadership, communication, and stakeholder management skills. The role requires the ability to liaise with both technical and non-technical stakeholders - translating business requirements into technical solutions and articulating complex architectural concepts in plain language. A collaborative mindset and the ability to influence and drive consensus are critical.
Preferred Qualifications
Professional Certifications: Relevant certifications are highly valued. Examples include Oracle Certified Professional (OCP) or Oracle Certified Master (OCM) in Oracle Database or E-Business Suite administration, Oracle Cloud Infrastructure Architect certifications, or Oracle EBS specialization certificates. Certifications in IT service management or architecture frameworks (e.g. TOGAF, Zachman) are also beneficial, indicating a strong grasp of best practices and frameworks.
Enterprise Architecture & Methodologies: Familiarity with enterprise architecture methodologies and tools. Experience applying frameworks like TOGAF for designing large-scale systems, or involvement in establishing data governance councils or standards in an organization, will be an advantage.
ERP Migration/Upgrade Experience: Hands-on experience in enterprise ERP migration or upgrade projects. Preference will be given to candidates who have been involved in migrating EBS to Oracle Cloud or upgrading from older EBS versions to R12.2+ in a cloud or hybrid environment, as well as those who have managed large data migration activities (for example, moving historical data to a cloud data warehouse or implementing Oracle Cloud SaaS alongside EBS). Such experience demonstrates the ability to handle complex transformations and change management.
Additional Domain Knowledge: Experience with integration platforms (e.g., MuleSoft, Dell Boomi) is an added advantage, as it shows versatility in integrating Oracle EBS within a wider IT landscape. Likewise, knowledge of Master Data Management (MDM) practices and tools, or data quality management systems is a plus - ensuring the Senior Data Architect can help drive unified, accurate data across the organization.
**Pay Range:**
- Locations Outside of Lower Mainland - BC & Various locations in Ontario-$105,400.00 - $158,100.00 Annually
- Locations in Lower Mainland -- BC, GTA & Ottawa Ontario-$114,600.00 - $164,600.00 Annually
**Pay Transparency:** In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for part-time roles will be pro-rated based on the agreed number of working hours per week.
**Benefits Summary:** Regular full-time and part-time employees (working at least 20 hours per week) will have access to health, dental, and vision plans, a wellness program, health care spending account, wellness spending account, group registered retirement savings plan, employee stock purchase program, group tax-free savings account, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage, and paid time off.
Temporary/casual employees will have access to group registered retirement savings plan, employee stock purchase program, and group tax-free savings account.
The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements.
**Primary Location:** Canada | AB | Edmonton
**Other Locations:** Canada | ON | Toronto
**Organization:** 1374 IT Services-CA Corporate-Edmonton AB
**Employee Status:** Regular
**Business Justification:** New Position
**Travel:** No
**Schedule:** Full time
**Job Posting:** 04/02/ :02:42
**Req ID:**
\#additional

**Enterprise Data Architect**
**Job Description Summary** : The position is within ICG Technology, and we are seeking a **Enterprise Data Architect** with strong hands-on experience in developing Conceptual, Logical and Physical Data Model for Wholesale Lending. Candidate must have experience in developing large scale data models that fits multiple lines of business. The work will be developing strategic state-of-the-art solutions using agile methodologies, micro services and integration with many application/services.
**Introduction**
Citi's Institutional Clients Group (ICG, visit us at icg.citi.com) comprised of diverse, talented professionals located in more than 100 countries, jurisdictions and territories globally. ICG Operations and Technology develops innovative solutions and provide exceptional service to our clients in full partnership with our product teams. ICG O&T features a diverse, inclusive team of professionals in approximately 90 countries around the globe. Institutional operations group is responsible for the management and execution of transactions for Markets, Credit Risk, Security Services, Information Services, Private Bank, Treasury and Trade Solutions and Operation Controls and reporting. The technology arm of ICG engaged in the application development and support for various lines of businesses. We are focused on building a cross-functional team of talented individuals, creating a unique platform to deliver products that will pioneer the industry through technical innovation and creativity. Our mission as a business focused technology organization is to provide best-in-class products and services to our global clients.
**Why Citi?**
+ Over 200 years in business with a great team of creative, visionary and entrepreneurial thinkers.
+ Tremendous opportunities to advance; open to everyone across all levels. Learn and grow simultaneously
+ We offer a unique journey of personal and professional development, accomplishment and satisfaction.
+ We value intelligence and a global mindset. There is a strong culture of empowerment here - we embrace diversity.
+ We do our best to be flexible and may differ depending on the business or area.
+ Citi India supports would be and returning mothers with various childcare benefits.
+ Citi offers a robust training program. We continually reevaluate our training model to ensure that we are always offering the most relevant and best in class training.
+ At Citi, we value internal mobility. We want you to build a long-term career with us, so you can expect opportunities to move around the organization.
**Description:**
Citi Institutional Clients Group Operations and Technology (ICG O&T) develops innovative solutions and provide exceptional service to our clients in full partnership with our product teams. Institutional operations group is responsible for the management and execution of transactions for Markets, Credit Risk, Security Services, Information Services, Private Bank, Treasury and Trade Solutions and Operation Controls and reporting. The technology arm of ICG engaged in the application development and support for various lines of businesses
**Responsibilities:**
+ Identify data and information needs for wholesale lending business of ICG
+ Develop architecture, strategy, planning, and problem-solving solutions on an enterprise level
+ Design and maintain blueprint of the information architecture, data integrations and controls aligned to the renewed business strategy
+ Develop conceptual, logical, physical models and metadata solutions
+ Define model and rationalize target state architecture, socialize with key stakeholders and conduct walkthrough
+ Unify data concepts across disparate front office, credit risk, servicing and reporting functions of ICG
+ Determine database structural requirements by analyzing client operations, applications and data from existing systems
+ Participate in requirement engineering and working groups and collaborate with business leads, operations, SMEs, technologists and governance teams
+ Collaborate with Enterprise, Sector and Federated architecture team and adopt recommendations
+ Incorporate data standards and implement governance model
+ Develop data flows, ownership matrixes and data lineage
+ Implemented physical data model, contribute to the system and operational design, carry out optimization for usability and performance
+ Provide leadership and guidance to junior team members
+ Influence and negotiate with senior leaders across functions, as well as communicate with external parties as necessary
**Qualifications:**
+ 6+ years hand-on experience in Data Architecture, Data Science and/or Data Modeling expertise
+ Financial industry knowledge in risk management, wholesale lending, servicing and risk/regulatory reporting
+ Product knowledge in commercial banking, capital and investment banking and markets
+ Extensive experience in relational/hierarchical/OLTP/OLAP/Big Data concepts
+ Must have hands-on relational modeling, UML modeling and metadata management tools
+ Good knowledge of modeling and architecture tools such as Magic Draw, Erwin, Enterprise Architect et.
+ Experience in modeling and building complex IT systems
+ Expertise in Data Management methodologies involving architecture, modeling, storage, security
+ Good understanding of data governance - defining strategy, developing goals, principles and policies
+ Prior experience in data integration, interoperability and data quality solutions
+ Analytical and problem solver, excellent verbal, written and presentation skills
+ Excellent influencing, meeting organization, facilitation skill
**Education:**
+ Bachelor's degree/University degree or equivalent experience
+ Master's degree preferred
+ Certification in Data Architecture / Modeling is a plus
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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**Job Family Group:**
Technology
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**Job Family:**
Data Architecture
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**Time Type:**
Full time
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**Primary Location Full Time Salary Range:**
$120,800.00 - $170,800.00
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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**Automated Processing and AI**
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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_This job opening is for an existing job vacancy._
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

The Lead Data AI Architect is responsible for translating business strategy into secure, scalable data and AI architectures. This role assesses business requirements, defines and approves technical specifications and architecture decisions, and guides delivery teams in building modern data platforms, analytics solutions, and AI/ML/GenAI products. The Lead Data AI Architect is a senior domain expert who sets standards, patterns, and governance for data and AI across the organization.
**Position Responsibilities:**
+ Lead end-to-end architecture for modern data and AI solutions (enterprise data lake, data warehouse, streaming, analytics, ML, and GenAI) that support multiple business functions.
+ Define and evangelize reference architectures and reusable patterns for data, ML, and GenAI (including MLOps/LLMOps/AIOps), and guide delivery teams on implementation.
+ Stay current with emerging technologies and practices across data engineering, machine learning, and Generative AI (e.g., RAG, vector search, model fine-tuning, and orchestration).
+ Evaluate and integrate Azure-native and partner technologies that enhance data processing, storage, analytics, and AI model lifecycle management (CI/CD, testing, monitoring, and cost controls).
+ Ensure interoperability, data consistency, and responsible AI through strong API/data standards, metadata management, security-by-design, privacy, and model governance.
+ Conduct discovery to understand current-state data and AI landscapes, including platforms, pipelines, models, and key use cases.
+ Ensure solution architectures align with business strategy, enterprise technology standards, and data/responsible AI governance requirements.
+ Document and formalize an approved inventory of data and AI capabilities, tools, and controls, ensuring alignment with strategic objectives.
+ Expand and govern a catalogue of reusable patterns for data, ML, and GenAI to promote consistency, efficiency, and adherence to best practices.
+ Create and continuously refine target data and AI reference architectures utilizing Azure services to achieve optimal performance, scalability, security, and cost efficiency.
+ Identify and recommend opportunities to improve platform reliability, observability, data quality, model performance, and cost optimization.
+ Partner with engineering, product, data science, security, and risk teams to enable adoption of data/AI patterns, and provide architecture guidance through delivery.
+ Define and maintain architecture documentation standards, ensuring accessibility, version control, and compliance.
+ Maintain a centralized repository for data and AI architecture artifacts, including standards, reusable patterns, and governance decisions.
**Required Qualifications:**
+ 10+ years of experience in data/analytics architecture, with 3+ years designing AI/ML solutions in production (GenAI experience strongly preferred).
+ Bachelor's degree in Computer Science, Engineering, Information Systems, Data/AI, or a related field. Master's degree preferred.
+ Proven experience architecting on Azure across data and AI services (e.g., Data Lake/Databricks/Synapse/Fabric as applicable; Azure AI services), ideally within financial services and/or insurance.
+ Strong understanding of data governance, data modeling, integration, metadata management, and privacy/security controls; able to extend these practices to AI/GenAI governance.
+ Strong architecture leadership skills: drive decisions, manage trade-offs, and influence across teams while maintaining delivery focus.
+ Excellent communication and stakeholder management skills, with the ability to translate complex data/AI concepts for technical and non-technical audiences.
+ Experience with modern engineering practices (IaC, CI/CD), and with MLOps/LLMOps concepts such as model/prompt versioning, evaluation, monitoring, and deployment patterns.
+ Relevant certifications in Azure (Architecture/Data/AI) are a plus.
**Preferred Qualifications:**
+ Experience with Generative AI solution patterns (e.g., RAG, vector databases/search, prompt orchestration) and practical evaluation/guardrails.
+ Strong understanding of relational and dimensional modeling, plus experience with lakehouse patterns and data product/domain-oriented design.
+ Knowledge of data warehousing, streaming, and governance tooling (catalog/lineage), and familiarity with model risk management or responsible AI practices.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
\#LI-Hybrid
The role being advertised is an existing vacancy.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$113,260.00 CAD - $210,340.00 CAD
Los empleados también tienen la oportunidad de participar en programas de incentivos y recibir una compensación vinculada al rendimiento empresarial e individual. El salario real variará según las condiciones del mercado local, la geografía y factores relacionados con el puesto como conocimientos, habilidades, requerimientos, experiencia y educación/formación. Si solicitas este puesto fuera de tu ubicación principal, por favor escríbenos a para conocer el rango salarial correspondiente a tu ubicación.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement ( .

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.
NTT DATA's Client is seeking an experienced Azure Solution/Data Architect with strong expertise in AI-driven and agentic systems to design and implement scalable cloud and data solutions on Microsoft Azure. The ideal candidate will have a deep understanding of modern data platforms combined with experience in Generative AI, LLMs, and autonomous AI agents, enabling intelligent, self-orchestrating business workflows and decision systems.
**Day to Day job Duties:** (what this person will do on a daily/weekly basis)
+ Design end-to-end cloud solutions using Microsoft Azure services.
+ Architect AI-enabled and agentic solutions that can autonomously perform tasks, orchestrate workflows, and make decisions.
+ Define architecture patterns for integrating LLMs, APIs, and enterprise systems.
+ Ensure scalability, fault tolerance, and cost efficiency.
+ Design and implement AI agent frameworks using tools such as:
+ Azure OpenAI Service
+ Semantic Kernel / LangChain
+ Copilot frameworks
+ Build multi-agent systems capable of:
+ Task planning and execution
+ Tool usage and orchestration
+ Context-aware decision-making
+ Develop RAG (Retrieval Augmented Generation) pipelines using vector databases (Azure AI Search, Cosmos DB, etc.).
+ Integrate AI agents with enterprise data platforms and business applications.
+ Ensure responsible AI practices, guardrails, and governance.
+ Work with Azure services including:
+ Azure Data Factory (ADF)
+ Azure Synapse Analytics
+ Azure Databricks
+ Azure AI Services / Azure OpenAI
+ Azure Data Lake Storage (ADLS Gen2)
+ Azure SQL / Cosmos DB
+ Set up CI/CD pipelines using Azure DevOps/GitHub Actions.
**Basic Qualifications:** (what are the skills required to this job with minimum years of experience on each)
+ 8+ years of strong expertise in Microsoft Azure.
+ 8+ years experience in data architecture and distributed systems.
+ **5+ years experience with:**
+ Azure Data Factory / Synapse / Databricks
+ Data modeling techniques (Dimensional, Data Vault)
+ 5+ years' experience building AI-powered or agentic applications.
+ **Strong understanding of:**
+ Large Language Models (LLMs)
+ Prompt engineering
+ RAG architecture
+ 5+ years' Experience with:
+ Azure OpenAI / OpenAI APIs
+ LangChain / Semantic Kernel
+ Vector databases (Azure AI Search, Pinecone, etc.)
+ Knowledge of multi-agent orchestration patterns and tool integration.
+ 5+ years' experience in Python, SQL (mandatory)
+ Familiarity with REST APIs and SDK integrations.
**Soft Skills**
+ Strong analytical and problem-solving mindset.
+ Ability to translate business problems into AI-driven solutions.
+ Excellent communication and stakeholder engagement.
+ Leadership and mentoring capabilities.
**Preferred Qualifications**
+ Azure Certifications (AZ-305, DP-203, AI-102).
+ Experience delivering GenAI / Copilot / enterprise AI solutions.
+ Exposure to multi-cloud environments
NTT DATA provides a reasonable range of compensation for Canada-based positions. The starting pay range for this remote role is $80-$90/hour. This range reflects the minimum and maximum target compensation for the position across all Canada locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for NTT DATA's Employee Assistance Program (EAP) and Discount Perks.
About NTT DATA Services:
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is **($x - x/hourly )** . This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.

The Senior Data & AI Solution Architect is accountable for designing and governing end-to-end data and AI solutions that translate business requirements into secure, scalable, and production-ready architectures. This role operates as the hands-on architecture authority across the solution lifecycle, driving design decisions, defining solution blueprints, resolving trade-offs, and guiding engineering and data science teams through implementation. The architect ensures solutions are aligned with enterprise standards, regulatory expectations, and operational readiness, while enabling the delivery of modern data platforms, analytics, and AI/GenAI use cases.
**Position Responsibilities:**
**Solution Architecture Ownership**
+ Design end-to-end data and AI solutions (data pipelines, analytics, ML/GenAI use cases).
+ Produce HLDs/LLDs, define NFRs (scalability, performance, security, cost).
**Architecture Decisioning**
+ Lead design decisions and trade-offs (e.g., batch vs streaming, cost vs performance).
+ Review and approve solution designs aligned with enterprise standards.
**Delivery & Implementation Support**
+ Guide engineering and data science teams during build and deployment.
+ Resolve technical blockers and ensure production readiness.
**Applied Data & AI Patterns**
+ Implement patterns for ingestion, lakehouse, ML pipelines, and GenAI (RAG, vector search).
+ Enforce MLOps/LLMOps (versioning, evaluation, monitoring).
**Azure Solution Design**
+ Architect solutions leveraging Azure (ADLS, Databricks, Synapse/Fabric, Azure ML/OpenAI).
+ Define CI/CD and IaC-based deployment patterns.
**Integration & Data Governance**
+ Design API, data contracts, and event-driven architectures.
+ Ensure data quality, lineage, and interoperability.
**Security & Responsible AI**
+ Embed security, privacy, and AI governance controls (model risk, guardrails).
**Operational Readiness**
+ Define monitoring, observability, and cost optimization strategies.
**Required Qualifications:**
+ 5+ years of experience in data/analytics architecture, with 3+ years designing AI/ML solutions in production (GenAI experience strongly preferred).
+ Bachelor's degree in computer science, Engineering, Information Systems, Data/AI, or a related field. Master's degree preferred.
+ Proven experience architecting on Azure across data and AI services (e.g., Data Lake/Databricks/Synapse/Fabric as applicable; Azure AI services), ideally within financial services and/or insurance.
+ Strong understanding of data governance, data modeling, integration, metadata management, and privacy/security controls; able to extend these practices to AI/GenAI governance.
+ Strong architecture leadership skills: drive decisions, manage trade-offs, and influence across teams while maintaining delivery focus.
+ Excellent communication and stakeholder management skills, with the ability to translate complex data/AI concepts for technical and non-technical audiences.
+ Experience with modern engineering practices (IaC, CI/CD), and with MLOps/LLMOps concepts such as model/prompt versioning, evaluation, monitoring, and deployment patterns.
+ Relevant certifications in Azure (Architecture/Data/AI) are a plus.
**Preferred Qualifications:**
**Hands-on experience implementing:**
+ RAG architectures
+ Vector databases / semantic search
+ Prompt orchestration frameworks
**Experience with:**
+ Lakehouse architectures and data products
+ Domain-driven/data mesh environments
**Familiarity with:**
+ Model risk management
+ Responsible AI frameworks in regulated industries
+ Azure certifications (Solutions Architect, Data Engineer, AI Engineer).
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
\#LI-Hybrid
The role being advertised is an existing vacancy.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$113,000.00 CAD - $163,000.00 CAD
Los empleados también tienen la oportunidad de participar en programas de incentivos y recibir una compensación vinculada al rendimiento empresarial e individual. El salario real variará según las condiciones del mercado local, la geografía y factores relacionados con el puesto como conocimientos, habilidades, requerimientos, experiencia y educación/formación. Si solicitas este puesto fuera de tu ubicación principal, por favor escríbenos a para conocer el rango salarial correspondiente a tu ubicación.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement ( .

**Company Overview**
Check out this video and find out why our team loves to work here! ( Us! CDM Smith - where amazing career journeys unfold.**
Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it's a priority that the company takes good care of you and your family.
Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world.
**Job Description**
CDM Smith is seeking a Senior Data and AI Architect to join our Business Technology - Digital Engineering Solutions domain. This individual will be part of the Data & AI Technology group, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data & AI Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data & AI Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in data architecture capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping and creating solutions, and helping to lead and champion implementation. As a member of the Data & AI Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company.
The ideal candidate will have a proven track record designing and implementing successful data and Artificial Intelligence/Machine Learning (AI/ML) solutions, is a strategic thinker with a strong technical background, has exceptional communication, problem-solving skills, with a mindset of continuous learning and curiosity leading to tangible results.
Under the direction of the Data & AI Technology Leader, the duties and responsibilities for this position include:
+ Develop and design the architecture for various data and AI solutions, ensuring each solution is scalable, secure, and reliable.
+ Engage with our business units to understand their requirements and translate them into technical requirements and designs.
+ Create data and AI architectural solutions to complex architecture, engineering, and environmental science problems.
+ Design and implement strategies to scale data and AI solutions across different business units.
+ Create detailed architecture and technical design docs for our data and AI solutions.
+ Assist with initiatives and efforts, as part of a collaborative team, with your data scientists, data engineers, data analysts, and stakeholders.
+ Eagerness to learn and work as part of a multidisciplinary team across a global practice.
+ Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith.
+ Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business.
+ Present to external audiences as needed.
+ Assist with marketing, communications, and business development descriptions and activities as needed.
+ Assist with internal and external website descriptions as needed.
+ Perform other duties as required.
**Skills & Abilities**
+ Advanced understanding and experience with all functions of the data management lifecycle including data governance, data architecture, data integration, metadata management, data development, data quality management, data administration, security & operations, data stewardship and master data management.
+ Strong knowledge and experience with Microsoft Azure cloud services and Databricks.
+ Understands the principles of the Azure well-architected framework and can apply those principles to our Data and AI solution.
+ Expert knowledge and proven ability to develop highly complex data and AI architectures. Inquisitive, with a desire to ask questions and get a deeper understanding of business and data challenges.
+ Excellent written and oral communication skills with the ability to communicate well with people from both technical and non-technical backgrounds. Ability to listen, build rapport, and credibility as a strategic and diplomatic partner with our business units.
+ Innovative and able to apply critical thinking skills to generate new solutions/ideas that create value and improve processes.
+ Detail oriented with the ability to assist with executing highly complex or specialized projects.
**Qualifications**
+ Bachelor's Degree.
+ 5 years of related experience.
+ Equivalent additional directly related experience will be considered in lieu of a degree.
Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.
**Amount of Travel Required**
No Travel is required
**Background Check and Drug Testing Information**
CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as "CDM Smith") reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.
**Additional Compensation**
All bonuses at CDM Smith are discretionary and may or may not apply to this position.
**Pay Range Min**
USD $144,477.00
**Pay Range Max**
USD $252,824.00
**Visa Sponsorship Available**
No-Please note that all applicants must be legally eligible to work in Canada, for the Company, at the time of hire. Furthermore, this is not a position for which the Company is offering immigration application sponsorship or support
**Accessibility**
CDM Smith attracts the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith is an Equal Opportunity/Affirmative Action employer. Given our ongoing commitment to fostering an inclusive workplace, CDM Smith will consider all other accommodation requests related to protected characteristics in good faith, in accordance with its internal policies and procedures and all applicable laws.
If you require a reasonable accommodation for any part of the application process, please contact our Human Resources Department at and ask to speak with the Employee Relations Manager. Please have the requisition number of the position you are applying to available during the call.

**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$69,700 - $98,400 CAD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**Department Overview**
Within TD Wealth, the Analytics, Insights & Artificial Intelligence (AI2) team partners with business leaders to transform data into actionable insights, analytics solutions, and AI-driven capabilities that support strategic decision-making across Wealth businesses.
AI2 delivers end-to-end analytics services including data engineering, reporting, visualization, advanced analytics, machine learning, and artificial intelligence solutions. We work closely with business partners to uncover opportunities, improve client experiences, enhance operational effectiveness, and support data-driven decision-making across the organization.
This is an exciting opportunity to join a highly collaborative team focused on leveraging modern analytics platforms and emerging AI technologies to solve complex business challenges and deliver measurable business value.
**Job Description**
The Data Scientist I will support the development and delivery of analytics, reporting, and AI solutions that help business partners better understand performance, identify opportunities, and make informed decisions.
Working alongside experienced analytics professionals, the successful candidate will apply technical, analytical, and problem-solving skills to develop data-driven solutions, generate actionable insights, and contribute to innovative analytics initiatives. This role offers an excellent opportunity to build expertise in data science, cloud technologies, business intelligence, and artificial intelligence within a fast-paced and collaborative environment.
**Key Responsibilities**
+ Develop and maintain analytics, reporting, and AI solutions using Python, SQL, and cloud-based data platforms such as Azure Databricks.
+ Create and support data pipelines, curated datasets, and analytical assets used for reporting, decision-making, and advanced analytics initiatives.
+ Analyze structured and unstructured data to identify trends, patterns, opportunities, and business insights.
+ Partner with business stakeholders to understand requirements and support the translation of business needs into analytical solutions.
+ Design and enhance dashboards, reports, and visualizations using Power BI, Tableau, or similar tools.
+ Present analytical findings and recommendations clearly to both technical and non-technical audiences.
+ Support data quality, validation, and governance processes to ensure the accuracy and reliability of analytics products.
+ Contribute to continuous improvement initiatives, automation opportunities, and reusable analytical assets.
+ Stay current with emerging trends and technologies in analytics, artificial intelligence, and data science.
**Job Requirements**
+ Undergraduate degree in a quantitative or technical discipline such as Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or a related field.
+ **1-3 years of experience** in Data Science, Analytics, Business Intelligence, Data Engineering, or related fields.
+ Strong foundation in Python and SQL, with experience working with large datasets.
+ Familiarity with data science concepts, statistical analysis, data wrangling, and exploratory data analysis.
+ Experience with data visualization and dashboard development using **Power BI and/or Tableau** .
+ Exposure to cloud-based data environments and big data technologies such as Azure Databricks, Spark, or similar platforms is considered an asset.
+ Strong analytical and problem-solving skills with the ability to work through ambiguity.
+ Ability to learn quickly and apply new technologies, tools, and methodologies.
+ Strong communication and collaboration skills, with the ability to explain analytical concepts to a variety of audiences.
+ Experience working in a team-oriented environment and collaborating with business and technology partners.
+ Exposure to machine learning, artificial intelligence, Generative AI, or advanced analytics through academic, personal, or professional projects is considered an asset.
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.
If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.

We are seeking a highly skilled and motivated Senior Data Scientist - GenAI to join the Long Term Care (LTC) Fraud, Waste & Abuse (FWA) Advanced Analytics team. In this role, you will lead the design and deployment of high impact machine learning and AI solutions-combining traditional statistical modeling with advanced AI and Generative AI techniques including but not limited to generative AI techniques, such as applying prompt engineering, working with RAG applications, fine-tuning LLM models, and deploying applications on cloud platforms like Azure.
You will work closely with business partners to translate complex fraud and risk problems into scalable, production ready analytical and AI solutions. Your work will directly protect policyholders, ensure program integrity, and improve operational efficiency.
**Position Responsibilities:**
+ Lead end to end development of fraud detection and risk analytics models, including probabilistic models, anomaly detection, and ensemble approaches.
+ Perform advanced modeling and AI analysis on large, complex datasets to identify emerging fraud patterns and root causes.
+ Demonstrate proficiency in developing, fine-tuning, and deploying Generative AI models such as GPT models, as well as other innovative architectures. This includes understanding the nuances of model selection, optimization, and evaluation to ensure high performance and accuracy, while managing cloud-based solutions to ensure scalability, security, and performance.
+ Build and optimize modular RAG (Retrieval-Augmented Generation) systems, apply advanced retrieval methods, and evaluate and monitor the performance of RAG systems.
+ Apply large language models (LLMs) to parse complex documents and handle diverse layouts, such as multi-column text, tables, and images, and converting them into machine-readable formats to extract structured information.
+ Stay up-to-date with the latest advancements in Generative AI, prompt engineering, Agentic Framework, and cloud technologies, to apply them and enhance our data science capabilities.
+ Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
+ Communicate sophisticated technical concepts and findings to both technical and non-technical partners, ensuring clear understanding and agreement.
+ Review the work of other Data Scientists and take part in model and code reviews.
+ Collaborate with multi-functional teams to identify and define business requirements, ensuring alignment with data science objectives.
**Required Qualifications:**
+ Master's, or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field.
+ 5+ years of hands on industry experience in developing probabilistic models, analytics, and machine learning algorithms, including real world experience of applying analytics models, with a strong focus on machine learning, generative AI, timely engineering, and RAG applications
+ Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit-learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos DB
**Preferred Qualifications:**
+ Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
+ Strong collaboration and elaboration skills; demonstrates a strong commitment toorganizational success; shares resources and demonstrates knowledge across the organization.
+ Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
+ Excellent communication and collaboration skills, with the ability to work optimally in multi-functional teams.
+ Strong problem solving mindset with the ability to think critically and creatively.
+ Excellent communication and collaboration skills, with comfort working in cross functional teams.
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
\#LI-Hybrid
The role being advertised is an existing vacancy.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Ubicación principal**
Boston, Massachusetts
**Modalidades de Trabajo**
Híbrido
**Se prevé que el rango salarial esté entre**
$107,450.00 USD - $199,550.00 USD
Los empleados también tienen la oportunidad de participar en programas de incentivos y recibir una compensación vinculada al rendimiento empresarial e individual. El salario real variará según las condiciones del mercado local, la geografía y factores relacionados con el puesto como conocimientos, habilidades, requerimientos, experiencia y educación/formación. Si solicitas este puesto fuera de tu ubicación principal, por favor escríbenos a para conocer el rango salarial correspondiente a tu ubicación.
Manulife/John Hancock ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de ahorro 401(k) o de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de días libres pagos en EE. UU. contempla hasta 11 días festivos, 3 días personales, 150 horas de vacaciones y 40 horas de licencia por enfermedad (o más cuando lo exija la ley) por año, y ofrecemos todos los tipos de licencias contempladas por la ley.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement ( .
**Conozca sus derechos ( Familiar y Médico**
**Ley de Protección del Empleado contra el Examen Poligráfico ( al Trabajo**
**Verificación Electrónica (E-** **Verify** **)**
**Transparencia Salarial ( John Hancock Life Insurance Company (U.S.A.)

Sr. AI Engineer
**Date:** Jul 18, 2026
**Location:** Toronto, ON, CA - NL, CA - AB, CA - British Columbia, CA - ND, US - New Brunswick, CA - Nova Scotia, CA - Oakville, ON, CA - Ottawa, ON, CA - Calgary, AB, CA
**Company:** Softchoice
What you'll do
+ Delivering excellence **:** Developing, testing and managing cloud-native and 3rd party tooling and AI-on-cloud technologies for internal use - delivered through code, templates and scripts to ensure top-quality experiences for Softchoice employees, with consistency and efficiency.
+ Design and architect world-class technical solutions for internal employee and business group use cases, leveraging state-of-the-art cloud technologies and development tools.
+ Set and uphold high standards for technical architectures, systems design and operational excellence across our internal AI platform.
+ Create innovative solutions utilizing AI and LLM technologies to solve complex internal business problems - from automating manual workflows to surfacing insights for decision-makers across the company.
+ Develop reusable solution components, internal services, and comprehensive documentation that other Softchoice teams can adopt and extend.
+ Leading by collaboration:Working with software developers, application architects, QA engineers, and operations teams to deliver on - and exceed - the expectations of our internal business partners. You will also team up with SMEs, practice leads and vendors to fine tune our internal AI strategy and overcome obstacles to adoption at every step.
+ Evangelizing the New:You aren't just deeply familiar with cutting-edge concepts and technologies. You know how to tailor your insights to your internal audience, working directly with business teams across Softchoice to explore their needs and provide a compelling vision forward.
+ As a team member, you are a core participant in implementations for our internal business groups and in the R&D of Softchoice's internal AI IP and platform capabilities.
+ You will engage with business stakeholders and leaders across the company to identify, shape and prioritize internal AI initiatives that drive employee productivity and business outcomes.
What you'll bring to the table
+ A comprehensive understanding and experience with Agile methodologies applied to AI and Software Engineering.
+ Proficient in Python and frameworks such as Flask, langchain, llamaindex, and FastAPI.
+ Experience with Azure OpenAI Service and working with open-source LLMs.
+ Experience building Gen AI applications.
+ Develop and integrate RESTful APIs, focusing on Azure API management.
+ Experience with CI/CD pipelines (Azure DevOps, Jenkins, CircleCI, GitLab Actions).
+ Knowledge of containerization/orchestration (Docker, Kubernetes) in Azure.
+ Experience with Microsoft PromptFlow or RAGs evaluation matrix.
+ Expertise in writing and tuning prompts for LLMs.
+ Experience with indexing/chunking strategies for RAG applications.
+ Work with search solutions (Azure AI Search).
+ Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using Terraform).
+ Comfort partnering directly with non-technical business stakeholders to translate internal needs into technical solutions.
+ 6+ years of experience in a technical capacity.
+ Cloud certifications, preferably across 2 clouds or more (AWS, Azure, Google).
+ A basic certification in AI (AI900) or ML (GCP ML Engineer, AWS ML Engineer).
+ Ability to grasp high-level technical concepts quickly.
**Compensation**
A reasonable estimate of the current base pay range for this position is $91,200 to $114,000 annually + 12% Target Incentives.
Actual salary will be based on a variety of factors, including location, experience, skill set, education, and related certification. The range for this position in other geographic locations may differ.