This is a temporary contractor position.

At Hydro

One, we are scaling our Data & AI Marketplace to deliver enterprise-grade AI solutions that drive measurable business impact. We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise workflows within a secure and governed environment. What You’ll Bring Required Experience 7+ years of experience in AI/GEN AI/ML engineering, with strong expertise in Azure cloud environments Proven track record delivering end-to-end AI solutions in production Experience with Snowflake or modern enterprise data platforms Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field Core AI & Engineering Capabilities Generative AI & LLMs Experience fine-tuning and optimizing LLMs for enterprise use cases Designing and implementing RAG (Retrieval-Augmented Generation) architectures: Retrieval & embeddings Vector search Grounding & context orchestration AI Agents & Orchestration Designing and building AI agents using frameworks such as: LangChain Semantic Kernel Experience with: Multi-agent systems Tool/function calling Workflow automation and orchestration Strong experience across the Azure AI ecosystem: Snowflake Integration with enterprise services: Experience deploying scalable solutions on: Distributed, cloud-native architectures Software Engineering Strong programming skills in Python Experience building APIs (FastAPI or similar) Experience with microservices architecture and enterprise system integration Familiarity with containerization (Docker/Kubernetes) MLOps, LLMOps & Governance Experience implementing MLOps / LLMOps practices: Monitoring, observability, performance tracking Solid understanding of Responsible AI practices:



Security & data protection Compliance with enterprise governance standards What You’ll Work On Build enterprise-grade AI agents leveraging internal data and workflows Develop AI-powered search, discovery, and insight-generation platforms Design scalable GenAI decision-support systems for business and executive users Implement secure, governed AI solutions in a regulated enterprise environment Operationalize AI solutions that deliver real, measurable business value Who You Are A very hands-on expert who can take solutions from concept → production → scale Comfortable working in quick-evolving and ambiguous AI environments Passionate about building secure, reliable, and responsible AI systems Strong collaborator who thrives in cross-functional teams Motivated to solve complex business problems using advanced AI Preferred Skills Experience with Azure Foundry-based RAG systems Familiarity with NLP / text analytics applications Experience contributing to open-source AI projects or research Experience with GitHub-based development workflows Exposure to enterprise-scale AI deployments and governance frameworks Contract role with hybrid model (approx. 2 days onsite) it can be asked for more depends on company policy Opportunity to work on cutting-edge AI initiatives within Hydro One’s Data & AI Marketplace Delivery team Why Join Us?

Work on enterprise-scale AI transformation initiatives Shape how AI is adopted across a regulated, high-impact organization Build secure, governed, production AI systems—not just prototypes Collaborate with a team focused on innovation, quality, and real business value This is a hybrid position requiring the successful candidate to work on-site in Toronto a minimum of two (2) days per week . Occasional travel to the Markham and/or Barrie offices will be required based on project needs. In support of business and project requirements, Hydro One may require travel between offices up to five (5) days per week .

Candidates must be able to accommodate this travel as needed.

📌 Senior AI Engineer (Toronto)
🏢 Hydro One
📍 Toronto