AI Agent Developer - Platform & Governance

Job Category: Information Technology

Requisition Number: AIAGE
017975

• Posted :
  September 14, 2026
• Full-Time
• On-site

Showing 1 location

Role

Summary:

West Fraser is looking for an AI Developer
-Platform & Governance Engineer to establish and operate the technical foundations, controls, and lifecycle practices required to scale AI safely across the enterprise. This role combines platform engineering, cloud operations, identity and security, responsible AI, governance, observability, cost management, and production support. The successful candidate will work closely with AI delivery teams, cybersecurity, privacy, data governance, records management, enterprise architecture, infrastructure, and vendors to ensure AI services are secure, reliable, auditable, and supportable.

• Design, configure, administer, and support approved enterprise AI platforms, services, environments, and shared components.
• Establish platform standards for identity, access, network connectivity, secrets, data protection, logging, monitoring, deployment, and environment separation.
• Develop and maintain AI solution intake, risk assessment, approval, release, change, exception, review, and retirement processes.
• Maintain an inventory of AI solutions, agents, models, knowledge sources, owners, intended uses, risks, controls, and support contacts.
• Implement monitoring and observability for availability, performance, quality, safety, usage, capacity, cost, and operational health.
• Establish agent and model lifecycle controls, including versioning, evaluation evidence, approvals, access reviews, change records, and retirement criteria.
• Support responsible AI assessments by documenting intended use, limitations, impacted users, risks, safeguards, human oversight, and validation evidence.
• Work with cybersecurity and privacy teams to assess threats, permissions, data exposure, content safety, and third-party or vendor risk.
• Apply information governance requirements to prompts, outputs, conversation history, knowledge sources, logs, records, and retention.
• Create approved platform patterns, guardrails, templates, policies, operating procedures, and technical guidance for solution teams.
• Track consumption and cost, identify optimization opportunities, and provide transparent reporting on platform usage.
• Coordinate platform upgrades, release impacts, service health, incidents, disaster recovery, continuity, and vendor support.
• Provide technical consultation, reviews, and enablement to AI engineers, analysts, application teams, and citizen developers.
• Stay current on Microsoft Copilot administration, Microsoft Foundry, Azure AI, Microsoft Purview, Microsoft Fabric, Power Platform, cloud governance, and emerging AI risks.

• Bachelor degree in computer science, cloud engineering, cybersecurity, information systems, data management, or a related field, or equivalent practical experience.
• Experience administering or engineering enterprise cloud platforms, data platforms, integration platforms, security services, or software delivery environments.
• Strong knowledge of cloud architecture, identity and access management, network security, secrets management, monitoring, logging, automation, and deployment practices.
• Practical understanding of generative AI, large language models, agents, knowledge grounding, AI solution lifecycle, and operational risks.
• Experience with governance frameworks, risk assessments, control design, audit evidence, policy implementation, and operational procedures.
• Familiarity with Microsoft technologies such as Microsoft Foundry, Azure AI services, Microsoft Entra, Microsoft Purview, Copilot Studio, Power Platform, Microsoft Fabric, Azure Monitor, and cost management is an asset.
• Experience…