Senior AI Solutions Lead
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Our client requires a Sr. AI Solutions Lead to lead and deliver AI initiatives independently under EAS direction and collaboration with the business, from discovery through solution design, hands-on implementation, production support and benefits realization. The client maintains a backlog of AI project ideas. The resource will work with business stakeholders to assess opportunities, define scope and priorities, and see approved initiatives through to measurable outcomes.
The client’s AI delivery environment includes Azure Foundry and related Azure services, ChatGPT Enterprise, Microsoft Copilot, Databricks, .NET and Python. Solutions may use existing enterprise tooling, AI services, APIs and SDKs, vector indexes, and standard or custom Model Context Protocol (MCP) servers and tools.
The role is predominantly hands-on project delivery and includes technical leadership, stakeholder coordination and production implementation. The preferred platform and language qualifications below are rated assets; candidates are not required to possess every preferred qualification.
Work is 100% onsite in Regina, SK.
Regina, Saskatchewan (Onsite)
Mandatory Requirements
- Must have a minimum of five (5) years’ experience delivering software solutions;
- Must have a minimum of two (2) years’ experience developing AI solutions;
- Will be required to work and be located full time on-site at client office in Regina from Monday to Friday.
Desirable Requirements
Preferred Technical Skills and Qualifications Include:
- Recognized bachelor’s degree or technical diploma in computer science, information systems, engineering, or a related discipline;
- Minimum of three (3) years’ experience in: Development using C# .NET; Development using Python;
- Minimum of two (2) years’ experience in: Developing and deploying AI solutions using Azure Foundry or a comparable AI development platform; Developing AI agents and chatbots, including tool calling, workflow orchestration and integration with enterprise APIs; Implementing retrieval-augmented generation, embeddings, vector indexes and grounded responses over enterprise information; Integrating AI services through APIs and SDKs, including authentication, permissions, error handling and testing; Defining and applying AI quality evaluations and acceptance criteria, including handling incorrect responses and failed tool actions; Using Git, code reviews, automated testing and CI/CD processes; Using AI-assisted and agentic software development tools, such as GitHub Copilot, Codex or equivalent;
- Minimum of one (1) year experience in: Developing solutions and workflows using ChatGPT Enterprise; Using or integrating with Databricks Developing custom Model Context Protocol (MCP) servers or integrating AI solutions with MCP tools, including enterprise data services such as Databricks;
Preferred Role-specific Experience:
- Minimum of two (2) years’ experience in: Leading AI initiatives independently through discovery, scoping, prioritization, architecture, implementation, support and benefits realization; Deploying and supporting production AI solutions, including monitoring, usage cost management and operational handover; Working with business stakeholders to assess value, establish benefit measures and evaluate realized outcomes.