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 SaskEnergy’s 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.
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
