AI Agent Developer - Platform & Governance

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.

What You Will Do:

• 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.

What You Bring:

• 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 with infrastructure as code, source control, deployment pipelines, scripting, APIs, and automation is an asset.
• Understanding of privacy, cybersecurity, data governance, records management, regulatory compliance, and responsible AI expectations.
• Ability to translate policy and risk requirements into practical technical controls that do not create unnecessary friction.
• Strong analytical, problem-solving, documentation, communication, and cross-functional collaboration skills.

What You Have:

• Demonstrates alignment with West Fraser values and acts with ownership, accountability, curiosity, and sound judgment.
• Treats security, privacy, reliability, transparency, and supportability as design requirements rather than afterthoughts.
• Balances appropriate control with business enablement and practical delivery needs.
• Uses evidence, monitoring, testing, and risk-based decisions to improve the AI platform over time.
• Works effectively across AI, data, cybersecurity, privacy, architecture, infrastructure, records, legal, and vendor teams.
• Can identify systemic risks and translate them into clear standards, guardrails, controls, and remediation actions.
• Can work independently while communicating platform health, decisions, exceptions, risks, and next steps.
• Continuously learns as AI platforms, regulatory expectations, threats, and operational practices evolve.

Modern Capabilities to Emphasize:

Capability

What it means in this role

AI platform engineering

Operate secure, reusable AI platform services, environments, and shared components.

AI governance controls

Translate policy and risk requirements into practical approvals, standards, guardrails, and evidence.

Identity and data protection

Control access, credentials, connectivity, sensitive data, and knowledge-source permissions.

Agent and model lifecycle

Manage inventory, ownership, versioning, evaluation, change, review, and retirement.

Observability and operations

Monitor availability, quality, safety, usage, performance, incidents, and support health.

Responsible AI assurance

Support risk assessment, human oversight, transparency, validation, and documented safeguards.

Cost and capacity management

Track consumption, control spend, plan capacity, and identify optimization opportunities.

Resilience and supportability

Establish incident, recovery, continuity, vendor support, and operational handoff practices.

Compensation Package:

The salary range for this position may vary depending on experience, education, and location.

Outstanding benefits package including medical, dental, pension, life insurance, disability, accident insurance, vacation, and holidays

Annual bonus opportunity

Working Conditions and Location:

• Based in Vancouver, BC, or Memphis, TN with 4/5 days in-office collaboration.
• Occasional travel to other West Fraser locations may be required, including mill, office, or operations locations.
• Occasional evening or weekend work may be required to support pilots, production releases, urgent issues, or scheduled deployments.

Your Workplace Location:

Nestled amidst captivating natural beauty, Vancouver is a city that promises an enchanting experience to its visitors. Its balmy climate, coupled with the warm hospitality of its people, has earned it a reputation as one of the most sought-after tourist destinations in the world. However, Vancouver's appeal doesn't just end there. The city boasts a vibrant cultural scene, with a rich diversity of languages and ethnicities, adding to its unique charm. As one of Canada's most ethnically and linguistically diverse cities, Vancouver is a melting pot of cultures, traditions, and lifestyles, making it an unparalleled place to live.