Senior AI Engineer

Hydro One Limited; Toronto; Hybrid; CAD 140,000 - 190,000; Part time

Benefits offered by this job

Hybrid work model

On-site in Toronto 2 days/week

Job summary

Hydro One Limited in Toronto seeks a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents within a secure, governed enterprise environment. You will deliver end-to-end AI solutions, integrate Azure-based workflows, and work with Snowflake or similar data platforms while upholding responsible AI practices and compliance.

This hybrid contractor role supports Hydro One’s Data & AI Marketplace Delivery team, with on-site work in Toronto (2

Qualifications

• 7+ years of experience in AI/GEN AI/ML engineering.
• 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

Responsibilities

• Build enterprise-grade AI agents and intelligent systems.
• Design and implement GenAI architectures and RAG workflows.
• Develop AI-powered search, discovery, and insight platforms.
• Ensure secure, governed, scalable AI solutions in regulated environments.
• Collaborate with cross-functional teams to deliver measurable business value

Skills

AI/Gen AI/ML engineering

Azure cloud environments

Python

APIs (FastAPI)

ML deployment

Education

Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field

Tools

Docker

Kubernetes

Snowflake

LangChain

OpenAI/LLMs

Job description

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.