Senior AI Solutions Lead Resource
Due Date: November 30, 2026
Term: The anticipated start date is January 2027. The initial term for this role will conclude on March 31, 2028 with options to extend.
Location: The resource will be required to work and be located on site at Regina, Monday to Friday 8 am to 5 pm CST.
Mandatory Requirement (Pass/Fail)
- Must have a minimum of five (5) years experience delivering software solutions;
- Must have a minimum of two (2) years experience developing AI solutions;
- Resource will be required to work and be located full time on-site at Regina from Monday to Friday.
Background:
Enterprise Application Services (EAS) team works with IT Operations, Enterprise Security, Solutions and Architecture, and Project Delivery to develop, maintain and support business applications and integrations.
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.
Description of Requirements:
The Enterprise Application Services (EAS) team is seeking proposals for a Senior AI Solutions Lead.
The resource will 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 resource will work with business stakeholders to assess opportunities, define scope and priorities, and see approved initiatives through to measurable outcomes.
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.
The Senior AI Solutions Lead will be responsible for the following activities:
- Lead discovery and scoping, define requirements and acceptance criteria, estimate delivery effort and establish expected benefits and measures of success;
- Design solution architectures in collaboration with Enterprise Architecture and select appropriate AI services, software development kits, data access methods and integration approaches within approved environment;
- Implement AI solutions through production code and approved platforms, including AI agents, chatbots, retrieval over enterprise information and workflows that use enterprise APIs and MCP tools;
- Plan and complete testing, quality evaluations and production deployment, working with the appropriate teams on security, permissions, data access and operational readiness;
- Support production solutions, monitor quality, reliability and usage costs, and address defects, changes and enhancements;
- Work with business owners to validate delivered outcomes, measure realized benefits against agreed baselines and identify opportunities for improvement;
- Maintain technical and operational documentation, transfer knowledge and complete support handover.
Ideally the resource will have (Relevant Skills and Experience):
A. Technical Skills and Qualifications
- Have a recognized bachelor’s degree or technical diploma in computer science, information systems, engineering, or a related discipline;
- Have a minimum of three (3) years experience in:
- Development using C# .NET;
- Development using Python;
- Have a 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;
- Have a 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;
B. Role-specific Experience
- Have a 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.
If interested and match the above criteria, please respond with a 3 page resume to info@thirdeyecybersecurity.com
Mandatory Requirement - Candidate should be able to work onsite in Saskatchewan
Job Type: Fixed term contract
