Role: Senior AI Solutions Lead
Location: Regina, Saskatchewan (onsite)
Contract: January 2027 to March 31, 2028 (Up to 4 successive one-year renewals, subject to contract terms)
Schedule: Monday to Friday
Hours: 8:00 AM to 5:00 PM Saskatchewan time.
Role Overview
Seeking a hands-on Senior AI Solutions Lead to independently deliver AI initiatives, working with business stakeholders from discovery and prioritization through architecture, production implementation, support and measurable benefits realization.
The environment includes Azure Foundry and related Azure services, ChatGPT Enterprise, Microsoft Copilot, Databricks, .NET and Python. Solutions may involve AI agents, chatbots, enterprise APIs and SDKs, vector indexes, and Model Context Protocol (MCP) tools and servers.
MANDATORY REQUIREMENTS - PASS / FAIL
- Minimum five (5) years of experience delivering software solutions.
- Minimum two (2) years of experience developing AI solutions.
DUTIES & RESPONSIBILITIES
- Lead discovery and scoping; define requirements, acceptance criteria, estimates, benefits and success measures.
- Design architectures with Enterprise Architecture; select approved AI services, SDKs, data access and integrations.
- Build production AI solutions, including agents, chatbots, enterprise retrieval and workflows using APIs and MCP tools.
- Plan testing, quality evaluation and deployment with security, data access and operations teams.
- Support production solutions; monitor quality, reliability and usage costs; resolve defects and enhancements.
- Validate business outcomes and realized benefits with stakeholders.
- Maintain documentation, transfer knowledge and complete support handover.
PREFERRED TECHNICAL QUALIFICATIONS & EXPERIENCE
- Recognized bachelor’s degree or technical diploma in computer science, information systems, engineering or a related discipline.
- Three (3) years of development using C# .NET.
- Three (3) years of development using Python.
- Two (2) years developing and deploying AI solutions using Azure Foundry or a comparable AI development platform.
- Two (2) years developing AI agents and chatbots, including tool calling, workflow orchestration and enterprise API integration.
- Two (2) years implementing retrieval-augmented generation (RAG), embeddings, vector indexes and grounded responses over enterprise information.
- Two (2) years integrating AI services through APIs and SDKs, including authentication, permissions, error handling and testing.
- Two (2) years defining and applying AI quality evaluations and acceptance criteria, including incorrect responses and failed tool actions.
- Two (2) years using Git, code reviews, automated testing and CI/CD processes.
- Two (2) years using AI-assisted and agentic development tools such as GitHub Copilot, Codex or equivalent.
- One (1) year developing solutions and workflows using ChatGPT Enterprise.
- One (1) year using or integrating with Databricks.
- One (1) year developing custom MCP servers or integrating AI solutions with MCP tools, including enterprise data services.
PREFERRED ROLE-SPECIFIC EXPERIENCE
- Two (2) years independently leading AI initiatives from discovery, scoping and prioritization through architecture, implementation, support and benefits realization.
- Two (2) years deploying and supporting production AI solutions, including monitoring, usage cost management and operational handover.
- Two (2) years working with business stakeholders to assess value, establish benefit measures and evaluate realized outcomes.
