Artificial Intelligence Engineer

Senior AI Solutions Lead

Location: Regina, Saskatchewan – 100% Onsite

Start Date: January 2027

Initial Contract Duration: January 2027 – March 31, 2028 (Contract)

Extension: Potential annual extensions

Work Schedule: Monday to Friday, 8:00 AM – 5:00 PM CST

Job Overview

We are seeking an experienced Senior AI Solutions Lead to lead the design, development, implementation, and deployment of enterprise AI solutions. The successful candidate will combine strong hands-on software development expertise with AI architecture, technical leadership, and enterprise integration experience.

This role involves delivering production-ready AI applications, AI agents, chatbots, Retrieval-Augmented Generation (RAG) solutions, and intelligent automation using modern AI platforms and technologies.

The ideal candidate will have experience with Azure AI Foundry, Python, C#/.NET, ChatGPT Enterprise, Microsoft Copilot, Databricks, and Model Context Protocol (MCP).

Key Responsibilities

• Lead end-to-end AI initiatives, including discovery, requirements gathering, solution architecture, development, deployment, and production support.
• Design and develop scalable, secure, and production-ready AI solutions aligned with enterprise architecture standards.
• Develop AI agents, enterprise chatbots, RAG solutions, and intelligent automation workflows.
• Implement AI solutions using Azure AI Foundry and other enterprise AI platforms.
• Develop and integrate enterprise APIs, AI services, SDKs, and data platforms.
• Design and implement AI tool calling, workflow orchestration, and MCP-based integrations.
• Build solutions involving embeddings, vector databases, enterprise search, and knowledge retrieval.
• Collaborate with business stakeholders, enterprise architects, cybersecurity teams, and IT operations.
• Define AI solution testing strategies, quality evaluations, acceptance criteria, and deployment standards.
• Monitor AI applications for performance, reliability, quality, and operational costs.
• Implement CI/CD pipelines, automated testing, and version control practices.
• Provide technical guidance, documentation, knowledge transfer, and production support.
• Identify AI opportunities and demonstrate measurable business value through successful implementation.

Mandatory Requirements

• 5+ years of professional experience delivering software solutions.
• 2+ years of hands-on experience developing AI solutions.
• Must be available to work 100% onsite in Regina, Saskatchewan, five days per week.

Preferred Technical Qualifications

• Bachelor's degree or technical diploma in Computer Science, Information Systems, Engineering, or a related discipline.
• 3+ years of hands-on development experience with C#/.NET.
• 3+ years of hands-on development experience with Python.
• 2+ years of experience developing and deploying AI solutions using Azure AI Foundry or comparable AI platforms.
• Experience developing AI agents, enterprise chatbots, and AI-powered applications.
• Experience implementing Retrieval-Augmented Generation (RAG), embeddings, vector indexes, and enterprise knowledge retrieval.
• Experience with AI tool calling, workflow orchestration, and enterprise API integrations.
• Strong understanding of AI application security, authentication, permissions, error handling, and testing.
• Experience evaluating AI-generated responses, managing hallucinations, and implementing quality controls.
• Experience with Git, CI/CD pipelines, automated testing, and code reviews.
• Familiarity with AI-assisted development tools such as GitHub Copilot, OpenAI Codex, or equivalent technologies.

Highly Preferred Experience

• 1+ year of experience developing AI solutions or workflows using ChatGPT Enterprise.
• 1+ year of experience using or integrating Databricks.
• 1+ year of experience developing custom Model Context Protocol (MCP) servers or integrating AI applications with MCP tools.
• Experience integrating MCP-based AI applications with enterprise data platforms.
• Experience with Microsoft Copilot and enterprise AI ecosystems.
• Previous professional experience in North American enterprise environments.

Technical Leadership & Enterprise AI Delivery

• 2+ years of experience independently leading AI initiatives from discovery through implementation.
• Experience deploying, maintaining, and supporting production AI applications.
• Experience monitoring AI solution reliability, performance, usage, and operating costs.
• Ability to translate business requirements into practical AI solutions.
• Experience defining measurable success criteria and demonstrating business benefits.
• Ability to collaborate with technical and non-technical stakeholders.
• Strong documentation, communication, troubleshooting, and problem-solving skills.

Work Requirements

• This position requires full-time onsite work in Regina, Saskatchewan.
• Standard working hours are Monday to Friday, 8:00 AM to 5:00 PM CST.
• Candidates must be available for a long-term contract engagement.
• Occasional on-call support may be required.

Ideal Candidate Profile

The ideal candidate is a hands-on AI Solutions Lead / AI Solutions Architect / Senior AI Engineer with a strong software development background and proven experience delivering enterprise AI solutions.

Candidates should be comfortable working across AI architecture, Python, C#/.NET, Azure AI, RAG, AI agents, enterprise integrations, and production deployment, while independently leading technical initiatives and collaborating with business stakeholders.

Interested candidates are encouraged to apply with an updated resume highlighting their enterprise AI implementation experience, technical expertise, and availability to work onsite in Regina.