Senior AI Solutions Developer to design and deliver enterprise AI solutions using Microsoft Copilot Studio M365 Job Calgary area,Alberta

Position: Senior AI Solutions Developer to design and deliver enterprise AI solutions using Microsoft Copilot Studio and the M365

Our energy and resources client is seeking a Senior AI Solutions Developer to design and deliver enterprise AI solutions using Microsoft Copilot Studio and the M ecosystem.

Join a high-impact AI enablement initiative within a leading oil and gas organization driving rapid adoption of Copilot agents across enterprise platforms. This role leads hands-on design, development, and deployment of business-led AI solutions within the Microsoft environment. The position provides direct collaboration with solution designers and leadership to accelerate the organization’s AI roadmap and showcase measurable value through real-world agent delivery.

Duration: 6-month initial contract with a possibility of extension.

Working model:
Full-time onsite within downtown Calgary

Must-Haves:

Deep hands-on expertise in Microsoft Copilot Studio and the Microsoft ecosystem (
Power Platform
, Graph, SharePoint)

Practical experience executing against a business-led AI roadmap with emphasis on scalable agent development

Proven ability to design, build, and deploy Copilot agents across enterprise systems (Service Now, SAP/Joule, Workday, and similar)

Nice-to-Haves:

Leadership of AI enablement or training initiatives for solution design teams

Experience chairing or supporting internal AI or technology user groups

Exposure to responsible AI frameworks and enterprise governance standards

Key Responsibilities:

Enable and train solution designers and business users on enterprise AI tools and agent development

Translate business needs into practical, build-ready solutions

Refine prioritized AI use cases and support their approval through internal forums

Act as a hands-on builder responsible for designing, developing, testing, deploying, and monitoring Copilot agents and AI-enabled solutions across enterprise platforms

Partner with solution designers and delivery managers to accelerate agent delivery and remove implementation blockers

Execute against a phased roadmap with a focus on rapid prototyping, accelerated delivery, and measureable business value

Chair an AI Super User Group to share best practices and drive reuse and consistency

Support leadership reporting on delivery progress, adoption metrics, and business value achieved

Own the end-to-end agent lifecycle including requirements gathering, solution design, development, testing, deployment, monitoring, and continuous improvement

Develop reusable agent patterns, components, and best practices to support scalable AI adoption across the organization

Ensure all AI solutions align with enterprise security, governance, privacy, and Responsible AI standards