245 AI Engineering jobs in Canada
AVP AI Engineering and Delivery
Posted 1 day ago
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Join to apply for the AVP AI Engineering and Delivery role at Canada Life
Join to apply for the AVP AI Engineering and Delivery role at Canada Life
Permanent Full Time
Canada Life has an ambition to apply human-led AI to innovate, elevate customer service, and accelerate growth across the organization. To succeed, we believe there is a need to accelerate AI adoption across the enterprise to enable business strategy while adequately managing risk to protect the organization.
Our Technology team is a strategic partner in our business – with an ambition to be a forward-thinking, agile technology organization delivering secure, resilient, and leading solutions that support Canada Life and the well-being of millions of Canadians.
As AVP AI Engineering & Delivery, you will join the Technology Leadership team as the leader for AI development initiatives, and support the shaping and execution of our AI strategy in collaboration with our Business Leaders. You will bring hands-on technology leadership with a business mindset to mentor teams, advance high-impact use cases and ensuring best practices in AI development, software engineering, and system design.
You will play a critical role to foster AI-first product thinking, and embedding governance and ethics into AI-driven systems. Additionally, you will drive advanced Generative AI architectures, integrating agentic AI techniques, AI-powered automation, and analytics into decision-making workflows.
This is a role for an individual that is excited to collaborate across business and technology teams to push the envelope on where AI can be applied in support of Canada Life’s business strategic priorities, and someone that is action biased and business outcome oriented.
What you will do:
Technical Leadership
- Architect AI applications leveraging advanced prompting techniques, agentic frameworks, structured/unstructured data access, AI analytics, and tool interactions.
- Provide expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-modal AI (text, vision, structured data).
- Guide teams on AI-first application design, ensuring scalability, robustness, and reasoning capabilities in AI-driven products.
- Establish standards, patterns, and best practices for Generative AI and Agentic AI solution design and development.
- Skilled in designing and executing rapid prototypes, establish pragmatic pathways to production-quality solutions while effectively managing trade-offs.
- Drive efficient AI DevOps, ensuring high-velocity, high-quality AI development with automated monitoring, retraining, and CI/CD pipelines.
- Serve as a trusted partner and product owner to define, champion, and operationalize AI services and technology platform.
- Seamlessly integrate AI-driven solutions, ensuring AI enhances decision-making and operational efficiency.
- Implement responsible AI practices, ensuring transparency, fairness, and bias mitigation in AI models.
- Establish AI governance frameworks to monitor and control AI system behavior, ensuring ethical and regulatory compliance.
- Champion explainable AI and AI observability, ensuring stakeholders understand and trust AI-driven decisions.
- Partner with Business leaders, Application and Data Engineering, Data Science, and Enterprise Architecture teams to align AI solutions with business objectives and drive measurable impact.
- Lead by influence, effectively communicating complex AI concepts to both technical and non-technical stakeholders explaining the benefits, limitations and value AI can enable.
- Lead matrixed and cross-functional squads in the design and implementation of AI solutions.
- Operationalize and evolve the AI delivery model and support model across Canada Life as the organization mature and scale in advancing AI.
- Build, manage and mentor a team of AI engineers, fostering a culture of innovation, accountability, and continuous learning.
- You hold a University degree in Software Engineering, Data Science, or equivalent.
- Proven track record of at least 5 years with AI / ML / Advanced Analytics implementations in a leadership role.
- Strong technical depth in LLMs, multi-modal AI, MLOps, AI DevOps, vector databases, embeddings, automated AI workflows, and software engineering principles.
- Proven record of software development excellence, seamlessly integrating AI advancements into engineering execution and delivering impact.
- Experience in AI governance and ethics, ensuring compliance, fairness, and responsible AI practices.
- Strong executive presence, able to engage and influence C-level stakeholders while aligning AI strategy with business goals.
- You have a track record of collaboration and influence when working in cross-functional teams in a highly complex organization, ability to lead and foster collaborative relationships,engage, and inspire the right outcome through partnerships and mutual respect.
- You are excited to develop high performing teams, and can lead, mentor, and influence junior talent.
- You have previous experience in a large enterprise environment in a regulated industry.
- Continuous learning mindset to stay updated with the latest AI trends and emerging technologies.
Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.
Be your best at Canada Life- Apply today!
Being a part of Canada Life means you have a voice. This is a place where your unique background, perspectives and talents are valued, and shape our future success.
You can be your best here. You’re part of a diverse and inclusive workplace where your career and well-being are championed. You’ll have the opportunity to excel in your way, finding new and better ways to deliver exceptional customer and advisor experiences.
Together, as part of a great team, you’ll deliver on our shared purpose to improve the well-being of Canadians. It’s our driving force. Become part of a strong and successful company that’s trusted by millions of Canadians to do the right thing.
Canada Life servesthe financial security needs of more than 13 million people across Canada, with additional operations in Europe and the United States. As members of the Power Financial Corporation group of companies, we’re one of Canada’s leading insurers with interests in life insurance, health insurance, investment and retirement savings. We offer a broad portfolio of financial and benefit plan solutions for individuals, families, businesses and organizations.
We are committed to providing an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of the communities in which we live, and to creating an environment where every employeehas the opportunity toreach their potential.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Canada Life policies. To request a reasonable accommodation in the application process, contact
Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted.
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Financial Services and Insurance
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#J-18808-LjbffrSenior Deep Learning Engineer
Posted today
Job Viewed
Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
Job Description
Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are on a mission to integrate state-of-the-art ML and NLP methods to transform this traditionally manual activity into a fair process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.
In this position, you'll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims.
This role is on-site in our Yaletown, Vancouver office.
Responsibilities:
- Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
- Train, evaluate and deploy DL models that enable Owl products.
- Conduct and collaborate on research projects that advance product capabilities.
Requirements
Minimum Qualifications:
- Bachelor's degree in Computer Science or relevant technical field.
- PhD in computer vision and/or machine learning or related areas.
- 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.).
- Experience communicating research for public audiences or peers.
Preferred Qualifications:
- First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
- 4+ year(s) of work experience in an industry, university, or government lab.
Benefits
Why join Owl?
- Industry Leaders : Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.
- Market Leadershi p: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate , with renewals consistently doubling their previous terms.
- Lean & Impact Driven Team : Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start.
- Established Product-Market Fit : AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.
- Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision)
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
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About the latest Ai engineering Jobs in Canada !
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
Job Description
Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are on a mission to integrate state-of-the-art ML and NLP methods to transform this traditionally manual activity into a fair process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.
In this position, you'll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims.
This role is on-site in our downtown Toronto office.
Responsibilities:
- Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
- Train, evaluate and deploy DL models that enable Owl products.
- Conduct and collaborate on research projects that advance product capabilities.
Requirements
Minimum Qualifications:
- Bachelor's degree in Computer Science or relevant technical field.
- PhD in computer vision and/or machine learning or related areas.
- 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.).
- Experience communicating research for public audiences or peers.
Preferred Qualifications:
- First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
- 4+ year(s) of work experience in an industry, university, or government lab.
Benefits
Why join Owl?
- Industry Leaders : Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.
- Market Leadershi p: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate , with renewals consistently doubling their previous terms.
- Lean & Impact Driven Team : Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start.
- Established Product-Market Fit : AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.
- Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision)
Deep Learning Compiler Engineer
Posted 24 days ago
Job Viewed
Job Description
Huawei Canada has an immediate 12-month contract opening for a Deep Learning Compiler Engineer.
About the team:
Initially founded in 1991 as Huawei's ASIC Design Center, the IC Lab is a leading global fabless semiconductor lab. This lab delivers trusted, cutting-edge semiconductor products and services for smart devices, contributing to smart home and mobility solutions. The local team in Canada specializes in semiconductors, and chipset solutions.
About the job:
Create customer value by developing new capabilities to improve inference times, optimize memory usage, and other state-of-the-art algorithms. You will use your expertise to drive optimization at both the model and system level.
Design, develop, and maintain optimized code in C++ and Python to implement and enhance deep learning inference systems. You will contribute to both low-level performance-critical components and appropriate high-level abstractions that define system behavior.
Drive performance improvements by integrating and optimizing deep learning systems for custom hardware accelerators. Your work will enable significant gains in speed, efficiency, and real-time performance for wireless applications.
Participate actively in code reviews, providing constructive feedback and ensuring that the codebase remains efficient, scalable, and conducive to high-velocity development. This is a collaborative environment where you’ll both share knowledge and grow from the feedback of your peers.
Work closely with a team of experienced engineers who will offer mentorship and guidance, allowing you to further refine your skills while contributing to challenging and innovative projects.