AI Solutions Lead

The Senior AI Solutions Lead will be responsible for the following activities:

1. Lead discovery and scoping, define requirements and acceptance criteria, estimate delivery

effort and establish expected benefits and measures of success;

2. Design solution architectures in collaboration with Enterprise Architecture and select

appropriate AI services, software development kits, data access methods and integration

approaches within SaskEnergy’s approved environment;

3. 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;

4. Plan and complete testing, quality evaluations and production deployment, working with the

appropriate teams on security, permissions, data access and operational readiness;

5. Support production solutions, monitor quality, reliability and usage costs, and address defects,

changes and enhancements;

6. Work with business owners to validate delivered outcomes, measure realized benefits against

agreed baselines and identify opportunities for improvement;

7. Maintain technical and operational documentation, transfer knowledge and complete support

handover.

Mandatory Qualifications

Have a minimum of five (5) years experience delivering software solutions;

Have a minimum of two (2) years experience developing AI solutions;

Technical Skills and Qualifications

a. Have a recognized bachelor’s degree or technical diploma in computer science,information systems, engineering, or a related discipline

b. Have a minimum of three (3) years experience in:

• Development using C# .NET;
• Development using Python;

c. 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;

d. 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;

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