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 perks 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 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

📌 Ai Solutions Lead (Winnipeg)
🏢 DASRO CONSULTING
📍 Winnipeg