AWS Professional Services helps AWS customers accelerate the use of ML and GenAI to solve business and operational challenges and drive innovation within their organisations. We are looking for an AI/ML Architect to support Canadian Public Sector projects.Key Responsibilities:Accurately understand the customer's business challenges and needs, structure the problems, and organise them as business requirements.Extract the IT requirements necessary to realise the business requirements and select candidate AI/ML services and algorithms.Work with specialist roles in related technical fields to build and verify ML solutions, and help develop an architecture that combines the necessary AWS services for achieving the customer 's goals.Assist customers on developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or GenAI solutions, deploying validated solutions on their supporting infrastructure, and providing training.Collaborate with ML Engineers, Cloud Architects, and Application Developers to build a production-ready ML or GenAI solution.Work with AWS services (e.G. Amazon Bedrock, Amazon SageMaker, Amazon AgentCore), Git, Docker, and ML/GenAI frameworks such as Strands-Agents, PyTorch, Transformers, etc.Basic Qualifications:Experience with AWS or cloud technologiesBachelor 's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics,



or related work experience5+ years of experience as a data scientist or ML Engineer with experience building ML models and GenAI systemsAbility to obtain Canadian federal security clearance, or valid Secret or Top Secret clearancePreferred Qualifications:Experience developing experimental and analytic plans for data modeling processesDeep technical skills and business savvy, able to collaborate with a wide range of clients, from executives to engineersExperience consulting with customers on their AI and GenAI needsExperience in building and maintaining MLOps systems, bringing models to production, and running data science development environmentsKnowledge/experience of data governance principles and practicesKnowledge/experience of data consumption, visualization and reportingCompensation: $99,900 – $166,900 CAD annually (Toronto and Ottawa). Total compensation may include sign-on payments and RSUs. Advantages include health insurance (medical, dental, vision, prescription, basic life and AD&D), RRSP, DPSP, paid time off, and wellness resources.5+ years of experience as a data scientist or ML Engineer; Bachelor's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics or related field; experience with AWS or cloud technologies; ability to obtain Canadian federal security clearance or valid Secret/Top Secret clearance #J-18808-Ljbffr

📌 Ai/Ml Architect, Public Sector Professional Services (Toronto)
🏢 Amazon Web Services
📍 Toronto