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 Prospect 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

Ma

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