AI Agent Developer - Platform & Governance

West Fraser; Vancouver; On-site; CAD 110,000 - 160,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Pension plan

Life insurance

Disability insurance

Vacation & holidays

Job summary

West Fraser is seeking an AI Developer - Platform & Governance Engineer to build and operate secure AI foundations, governance, and lifecycle practices across the enterprise. You will collaborate with AI delivery, cybersecurity, privacy, data governance, and vendor teams to ensure secure, auditable, and scalable AI services.

The role spans platform engineering, cloud operations, identity, and responsible AI, with responsibilities in monitoring, lifecycle controls, policy implementation, and

Qualifications

• Bachelor degree or equivalent practical experience in CS, cloud engineering, cybersecurity, information systems or related field.
• Experience administering or engineering enterprise cloud platforms, data platforms, integration platforms, security services, or software delivery environments.
• Strong knowledge of cloud architecture, IAM, network security, secrets management, monitoring, logging, automation, and deployment practices.
• Practical understanding of generative AI, LLMs, agents, knowledge grounding, AI 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 Foundry, Azure AI, Entra, Purview, Copilot Studio, Power Platform, 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 with minimal friction.
• Strong analytical, problem-solving, documentation, communication, and cross-functional collaboration skills.

Responsibilities

• Design, configure, administer, and support AI platforms, services, environments, and shared components.
• Establish platform standards for identity, access, network, secrets, data protection, logging, monitoring, deployment, and environments.
• 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, uses, risks, controls, and contacts.
• Implement monitoring and observability for availability, performance, quality, safety, usage, capacity, cost, and health.
• Establish agent and model lifecycle controls including versioning, approvals, reviews, and retirement criteria.
• Support responsible AI assessments by documenting intended use, limitations, risks, safeguards, and evidence.
• Work with cybersecurity and privacy teams to assess threats, permissions, data exposure, and vendor risk.
• Apply information governance to prompts, outputs, history, sources, logs, and retention.
• Create platform patterns, guardrails, templates, policies, and operating procedures for solution teams.
• Track consumption and cost; identify optimization opportunities; provide reporting on platform usage.
• Coordinate upgrades, release impacts, service health, incidents, disaster recovery, outage continuity, and vendor support.
• Provide technical consultation to AI engineers, analysts, application teams, and citizen developers.
• Stay current on Microsoft Copilot, Foundry, Azure AI, Purview, Fabric, Power Platform, cloud governance, and AI risks.

Skills

AI Platform Governance

Cloud Platforms

IAM / Security

Observability

Cost Management

Automation / IaC

Data governance

Vendor collaboration

Cross-functional collaboration

Policy & risk translation

Education

Bachelor's degree in Computer Science or related field

Tools

Azure AI

Microsoft Purview

Copilot Studio

Power Platform

Microsoft Fabric

Azure Monitor

Job description

Job Category: Information Technology

Requisition Number: AIAGE017975

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

Locations

Showing 1 location

Description

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

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 with 4/5 days in-office collaboration. This position is based in our Vancouver, BC corporate office; however, we will consider qualified U.S. candidates and provide appropriate relocation support.
• 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,Vancouveris 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.

About Us:

West Fraser offers exciting career paths in trades, operations, professional services, engineering and forestry across more than 50 locations in Canada, the U.S., the U.K. and Europe.

From lumber to engineered wood products, West Fraser delivers high-quality, naturally renewable building materials to the world. In all aspects of our business, we’re committed to responsible product sourcing and harvesting practices, backed by globally-recognized forest certifications.

Diversity:

At West Fraser, we strongly believe promoting diversity and inclusion is essential to our success. Our commitment to creating inclusive workplaces is reflected in our core values, and we constantly strive to foster a culture that values and respects every individual’s unique background and perspective. By joining us, you will have the opportunity to be a part of a team dedicated to shaping a brighter future by embracing diversity and promoting inclusivity. Join our team at West Fraser and help us build a more diverse and inclusive community.

Sustainability:

West Fraser is fully committed to sustainable forest management as defined in our environmental policy, reflected in every aspect of our work. We adopt new technologies and innovations to create an exceptional building material. Wood products are a natural, renewable, recyclable, and environmentally sustainable choice for consumers who prioritize sustainability.