Senior AI Engineer

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.

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

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

Designing and building AI agents using frameworks such as:

Lang Chain

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

Strong programming skills in Python

Experience building APIs (FastAPI or similar)

Experience with
microservices architecture and enterprise system integration

Familiarity with containerization (Docker/Kubernetes)

Experience implementing MLOps / LLMOps practices
:

Monitoring, observability, performance tracking

Strong understanding of Responsible AI practices
:

Security & data protection

Compliance with enterprise governance standards

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

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

Experience with
Azure Foundry-based RAG systems

Familiarity with NLP / text analytics applications

Experience contributing to open-source AI projects or research

Experience with
Git Hub-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

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.