Senior AI Engineer

Job Description

Senior AI Engineer
On behalf of our Utilities client, Procom is searching for a Senior AI Engineer for a 12-month role. This position is a hybrid position with 2 days onsite at our client’s Toronto office.

Senior AI Engineer - Job Description:
The role involves designing, building, and scaling production-grade AI systems and intelligent agents at Hydro One. The project is focused on integrating advanced AI capabilities into enterprise workflows within a secure and governed environment.

Senior AI Engineer - Responsibilities:
• 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

Senior AI Engineer - Mandatory Skills:
• 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
• Hands-on experience building Generative AI applications (GPT, Claude, Gemini, etc.)
• Strong programming skills in Python
• Experience with Azure AI ecosystem, including Azure OpenAI and Azure Machine Learning

Senior AI Engineer – Nice-to-Have 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

Senior AI Engineer – Assignment Length:
This is a 12-month contract position.

Senior AI Engineer - Start Date:
ASAP.

Senior AI Engineer - Assignment Location:
Toronto, Ontario, Canada, with a hybrid work model requiring onsite presence 2 days per week.

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.