NEG00009SE - Senior AI Solutions Lead

Please send your resume at anila.dada@amyantek.com if you are interested in this 15 month contract with SaskEnergy with a possibility of extension ,If you are not interested, please feel free to pass it in your network for anyone looking for work.

Position title: NEG00009SE Senior AI Solutions Lead

Working Status: On-Site

Location: SaskEnergy Head Office in Regina

Preference for start date: January 2027

Background

The SaskEnergy Digital, Technology and Security (DT&S) 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. SaskEnergy 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.

SaskEnergy’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.

Description of Requirements

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.

The proposed Senior Resource candidate must have the following skills listed below to be considered:

1. Must have a minimum of five (5) years experience delivering software solutions;
2. Must have a minimum of two (2) years experience developing AI solutions;
3. Resource will be required to work and be located full time on-site at SaskEnergy Head Office in Regina from Monday to Friday.

The proposed Senior Resource candidate preferably have the following skills, qualifications and role-specific experiences listed below:

1. Technical Skills and Qualifications
2. Have a recognized bachelor’s degree or technical diploma in computer science, information systems, engineering, or a related discipline;
3. Have a minimum of three (3) years experience in:

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

1. 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;

1. 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;

1. Role-specific Experience
2. 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.