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 QualificationsHave a minimum of five (5) years experience delivering software solutions;
Have a minimumof two (2) years experience developing AI solutions;
Technical Skills and Qualificationsa. 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:
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 AIservices 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 minimumof 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
#J-18808-Ljbffr