Senior AI/ML Architect – Amazon Web Services – Canada

Amazon Web Services (AWS) is hiring a Senior AI/ML Architect to join its Public Sector Professional Services team in Canada. This is a senior consulting role built for ML and GenAI specialists who want to help Canadian public sector clients solve real operational challenges using cutting-edge cloud technology. If you’ve spent years building production-grade machine learning systems and you’re ready to apply that expertise at scale, this role is worth a close look.

You’ll be embedded with a diverse team of technical experts who partner directly with clients — guiding them from initial problem framing all the way through to deploying production-ready ML and GenAI solutions on AWS infrastructure. Expect to work across the full lifecycle of ML projects, using tools like Amazon Bedrock, Amazon SageMaker, Amazon AgentCore, PyTorch, Transformers, and Strands-Agents.

About the Role: Senior AI/ML Architect

As a Senior AI/ML Architect within AWS Professional Services, your primary mandate is to understand the business challenges facing Canadian public sector clients and translate them into concrete, deployable ML and GenAI solutions. You’ll work directly with clients to conduct exploratory data analysis, design model architectures, validate solutions, and oversee deployment — all while ensuring knowledge transfer to the client’s own teams. This is hands-on, high-impact consulting work that spans both technical depth and business strategy.

Collaboration is central to this role. You’ll partner with ML Engineers, Cloud Architects, and Application Developers to bring solutions to production-ready maturity. You’ll also engage with client stakeholders at all levels — from engineers to executives — making the ability to communicate technical concepts clearly an important part of the job. Bilingual fluency in French and English is required for this position.

Benefits and Salary

Amazon is known for offering a robust total compensation package. While no specific salary figure is listed for this posting, AWS employees typically have access to benefits including flexible work arrangements, mentorship and career development programs, employee-led affinity groups, and ongoing learning opportunities. Amazon emphasizes work-life balance and provides resources to help employees grow into well-rounded professionals.

Responsibilities

In this role, you’ll be working across the full spectrum of ML and GenAI project delivery — from understanding a client’s business problem all the way through to deploying a production-ready solution. Your day-to-day work will combine technical rigour with client-facing consulting, requiring both precision and adaptability.

• Understand and structure client business challenges, translating them into clearly defined business and technical requirements
• Identify and select appropriate AI/ML services and algorithms that best align with client goals and constraints
• Design and validate ML and GenAI solution architectures that integrate relevant AWS services such as Amazon Bedrock, SageMaker, and AgentCore
• Lead development of ML and GenAI projects from initial discovery through to final deployment on production infrastructure
• Conduct exploratory data analysis to inform model design decisions and solution strategies
• Collaborate closely with ML Engineers, Cloud Architects, and Application Developers to ensure solutions meet production-readiness standards
• Deliver client training to upskill customer teams and ensure sustainable use of deployed solutions
• Utilise a broad ML toolset including Git, Docker, PyTorch, Transformers, and Strands-Agents alongside AWS services

Requirements / Skills

This role is well-suited to experienced ML practitioners who are equally comfortable in a boardroom and a development environment. AWS Professional Services looks for candidates who combine deep technical expertise with strong business acumen and a genuine interest in client success.

• 5+ years of experience as a data scientist or ML Engineer, including hands-on work building ML models and GenAI systems
• AWS or cloud technology experience is required for this position
• Bilingual fluency in French and English is required due to the nature of client and stakeholder interactions across Canada and globally
• MLOps experience including building and maintaining production ML systems and data science development environments (preferred)
• Consulting experience advising customers on AI and GenAI needs, with the ability to engage effectively with both executives and engineers (preferred)
• Master’s degree in Engineering, Computer Science, Machine Learning, Statistics, Operations Research or a related field (preferred)
• Data governance knowledge and experience with data consumption, visualisation, and reporting (preferred)

How to Apply

To apply, visit the official Amazon job posting using the link below. Make sure your resume is up to date and reflects your ML, GenAI, and AWS experience before submitting.

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