Senior Ai Solutions Lead
Visionpool Business Services
Visionpool Business Servies is hiring a Senior AI Solutions Lead who 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. The 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. THIS OPPORTUNITY IS LOCATED 100% ONSITE IN REGINA, SKDescription of RequirementsLead 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 the 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.Qualifications:Must have a minimum of five (5) years experience delivering software solutions;
Must have a minimum of two (2) years experience developing AI solutions;
Have a recognized bachelor’s degree or technical diploma in computer science,Have a minimum of three (3) years experience in: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 andchatbots, 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 AIquality 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;
Have a minimum of one (1) year experience in:Developing solutions and workflows using ChatGPT Enterprise;
Using or integrating with DatabricksDeveloping 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 realizationDeploying 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
Design solution architectures in collaboration with Enterprise Architecture and select appropriate AI services, software development kits, data access methods and integration approaches within the 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.Qualifications:Must have a minimum of five (5) years experience delivering software solutions;
Must have a minimum of two (2) years experience developing AI solutions;
Have a recognized bachelor’s degree or technical diploma in computer science,Have a minimum of three (3) years experience in: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 andchatbots, 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 AIquality 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;
Have a minimum of one (1) year experience in:Developing solutions and workflows using ChatGPT Enterprise;
Using or integrating with DatabricksDeveloping 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 realizationDeploying 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
Vacancy posted 1 hour ago
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