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
• Hands-on experience building Generative AI applications (GPT, Claude, Gemini, etc.)
• 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
• Azure OpenAI Service
• Azure Open AI
• Experience with:
• Multi-agent systems
• Tool/function calling
• Workflow automation and orchestration Azure AI & Platform Engineering
• Strong experience across the Azure AI ecosystem:
• Azure OpenAI
• Azure AI Search




• Azure AI Foundry
• Azure Machine Learning
• Azure Fabric
• Snowflake
• Integration with enterprise services:
• Azure Cognitive Services
• Azure Data Lake
• Azure Event Hub
• Experience deploying scalable solutions on:
• Azure Kubernetes Service (AKS)
• 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:
• Azure DevOps, MLflow, CI/CD pipelines
• Model evaluation frameworks
• Monitoring, observability, performance tracking
• Strong understanding of Responsible AI practices:
• Security & data protection
• Risk management & guardrails
• 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 Details
• Contract role with hybrid model (approx. 2 days onsite) it can be asked for more depends on company policy
• Chance 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

📌 AI Engineer (Toronto)
🏢 Hydro One
📍 Toronto