AI & Emerging technologies

Senior AI Engineer

Hydro One Inc.

Toronto · Ontario · Canada

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
  • Strong 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 fast-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.

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Reference: WJ-5769_69394

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