Senior AI/ML Architect – Amazon Web Services – Ottawa, ON

Amazon Web Services (AWS) is looking for a Senior AI/ML Architect to join its Public Sector Professional Services team in Canada. This is a high-impact technical consulting role where you’ll help Canadian government and public sector organisations accelerate their adoption of machine learning and Generative AI — building solutions that tackle real operational and business challenges.

In this position, you’ll work closely with clients to understand their needs, then design and deploy production-ready ML and GenAI solutions using the full breadth of AWS services. You’ll serve as a bridge between deep technical expertise and practical business outcomes, collaborating with engineers, architects, and application developers to bring innovative solutions to life.

About the Role: Senior AI/ML Architect

As a Senior AI/ML Consultant within AWS Professional Services, your core mandate is to understand client challenges and translate them into scalable, production-grade solutions. You’ll conduct exploratory data analysis, design and validate ML and GenAI architectures, and deploy those solutions on cloud infrastructure. You’ll work with tools like Amazon Bedrock, Amazon SageMaker, Amazon AgentCore, as well as frameworks such as PyTorch, Transformers, and Strands-Agents.

This role also requires the ability to obtain a Canadian federal security clearance (Secret or Top Secret), as you’ll be supporting sensitive public sector projects. Bilingualism in French and English is required for candidates in Quebec, given the global and cross-provincial nature of the work.

Benefits and Salary

AWS is known for offering a robust total compensation package. Employees benefit from a culture that emphasises work-life balance with flexible work hours and arrangements, continuous mentorship and career development resources, and access to knowledge-sharing programs. AWS fosters an inclusive team culture through employee-led affinity groups, diversity conferences, and ongoing learning experiences. The company is committed to helping every team member grow into a well-rounded professional.

Responsibilities

As a Senior AI/ML Architect, your day-to-day work centres on guiding public sector clients through every stage of their ML and GenAI journey — from problem scoping to production deployment. You’ll be expected to take ownership of complex technical challenges and deliver outcomes that drive real innovation for government and public organisations.

• Understand and structure customer business challenges and needs, formalising them as clear business and technical requirements
• Identify and select the most relevant AI/ML services and algorithms to address each client’s specific use case
• Design and validate end-to-end ML and GenAI architectures that integrate necessary AWS services to achieve client goals
• Support clients through the full project lifecycle — from exploratory data analysis to solution validation and production deployment
• Collaborate closely with ML Engineers, Cloud Architects, and Application Developers to deliver production-ready solutions
• Provide training to client teams to build internal capability and ensure long-term success
• Utilise a broad toolkit including Amazon Bedrock, Amazon SageMaker, Amazon AgentCore, Git, Docker, PyTorch, Transformers, and Strands-Agents

Requirements / Skills

The ideal candidate brings a strong blend of data science expertise, hands-on cloud experience, and the ability to communicate effectively with both technical teams and executive stakeholders. AWS values diverse career paths and encourages candidates from non-traditional backgrounds to apply.

• Bachelor’s degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or a related field
• 5+ years of experience as a Data Scientist or ML Engineer, with demonstrated experience building ML models and GenAI systems
• Experience with AWS or cloud technologies is required
• Ability to obtain Canadian federal security clearance (Secret or Top Secret level)
• Bilingualism in French and English is required for the Quebec location
• Experience consulting with customers on AI and GenAI needs, from user departments to executives, is considered a strong asset
• MLOps experience — building and maintaining systems that bring models to production — is highly valued
• Knowledge of data governance, data visualisation, and reporting practices is an asset

How to Apply

To apply, use the official Amazon job posting link below. Make sure your resume is up to date and tailored to highlight your ML, GenAI, and cloud experience before submitting.

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