AI Agent Developer

West Fraser; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Medical benefits

Pension plan

Life insurance

Vacation & holidays

Job summary

West Fraser is seeking an AI Agent Developer to design, build, deploy, and support practical AI-enabled solutions. This role blends software engineering, generative AI, data integration, testing, and production support in a Vancouver office environment.

You will collaborate with AI Solutions Analysts, data teams, security, privacy, and vendors to turn approved use cases into reliable, secure AI solutions. Strong programming in Python/C#/TypeScript and cloud experience are required.

Qualifications

• Bachelor degree in computer science, software engineering, data, information systems, or a related field, or equivalent practical experience.
• Experience developing and supporting enterprise applications, data products, automation solutions, or cloud services.
• Strong programming skills in Python, C#, TypeScript, or comparable languages, with experience using SQL, APIs, and structured data formats.
• Practical understanding of generative AI, large language models, prompts, embeddings, vector search, retrieval-based architectures, agents, and model limitations.
• Experience with cloud application development, authentication, authorization, monitoring, logging, testing, source control, and deployment automation.
• Familiarity with Microsoft technologies such as Microsoft Foundry, Azure AI services, Copilot Studio, Power Platform, Microsoft Fabric, SharePoint, Teams, and Microsoft Graph is an asset.
• Experience integrating enterprise systems, knowledge repositories, databases, or business applications is an asset.
• Understanding of responsible AI, privacy, security, data governance, records management, and intellectual property considerations.
• Ability to troubleshoot complex issues, assess technical trade-offs, and explain recommendations clearly.
• Strong analytical, problem-solving, documentation, communication, and collaboration skills.

Responsibilities

• Design, build, test, deploy, and support AI-powered applications, assistants, agents, and workflow solutions.
• Translate approved requirements and solution designs into maintainable technical components and production-ready services.
• Build retrieval-based solutions that ground AI responses in approved enterprise knowledge and data sources.
• Develop integrations between AI solutions and enterprise platforms through secure APIs, connectors, events, and automation workflows.
• Design prompts, system instructions, context strategies, knowledge retrieval patterns, and structured outputs appropriate to each use case.
• Evaluate model and solution outputs for accuracy, relevance, consistency, safety, latency, and cost using defined test sets and acceptance criteria.
• Implement human review, fallback, exception handling, logging, auditability, and appropriate safeguards.
• Apply secure software development, identity, access, data protection, source control, testing, and deployment practices.
• Use source control, automated testing, deployment pipelines, environment management, and release practices for AI solutions.
• Monitor production solutions, investigate defects, improve performance, and support incident and problem management.
• Create reusable components, development standards, reference patterns, and technical documentation for the AI Center of Excellence.
• Work with data and knowledge owners to address data quality, permissions, lineage, freshness, and content lifecycle issues.
• Support demonstrations, pilots, user testing, training, operational handoff, and continuous improvement.
• Stay current on Microsoft Copilot, Copilot Studio, Microsoft Foundry, Azure AI, Microsoft Fabric, Power Platform, and relevant AI engineering practices.

Skills

Python

C#

TypeScript

SQL

APIs

Data formats

Generative AI

Cloud services

Education

Bachelor degree in CS/SE/IT or equivalent

Tools

Microsoft Foundry

Azure AI

Copilot Studio

Power Platform

Microsoft Fabric

SharePoint

Teams

Microsoft Graph

Job description

Description

AI Agent Developer

Role Summary

West Fraser is looking for an AI Agent Developer to design, build, deploy, and support practical AI-enabled solutions. This role combines software engineering, generative AI, data integration, solution testing, and production support. The successful candidate will work closely with the AI Solutions Analyst, business stakeholders, data teams, platform teams, security, privacy, and vendors to turn approved use cases into reliable, secure, measurable, and supportable AI solutions.

What You Will Do:

• Design, build, test, deploy, and support AI-powered applications, assistants, agents, and workflow solutions.
• Translate approved requirements and solution designs into maintainable technical components and production-ready services.
• Build retrieval-based solutions that ground AI responses in approved enterprise knowledge and data sources.
• Develop integrations between AI solutions and enterprise platforms through secure APIs, connectors, events, and automation workflows.
• Designs prompts, system instructions, context strategies, knowledge retrieval patterns, and structured outputs appropriate to each use case.
• Evaluate model and solution outputs for accuracy, relevance, consistency, safety, latency, and cost using defined test sets and acceptance criteria.
• Implement human review, fallback, exception handling, logging, auditability, and appropriate safeguards.
• Apply secure software development, identity, access, secrets management, data protection, and responsible AI requirements.
• Use source control, automated testing, deployment pipelines, environment management, and release practices for AI solutions.
• Monitor production solutions, investigate defects, improve performance, and support incident and problem management.
• Create reusable components, development standards, reference patterns, and technical documentation for the AI Center of Excellence.
• Work with data and knowledge owners to address data quality, permissions, lineage, freshness, and content lifecycle issues.
• Support demonstrations, pilots, user testing, training, operational handoff, and continuous improvement.
• Stay current on Microsoft Copilot, Copilot Studio, Microsoft Foundry, Azure AI, Microsoft Fabric, Power Platform, and relevant AI engineering practices.
• Bachelor degree in computer science, software engineering, data, information systems, or a related field, or equivalent practical experience.
• Experience developing and supporting enterprise applications, data products, automation solutions, or cloud services.
• Strong programming skills in Python, C#, TypeScript, or comparable languages, with experience using SQL, APIs, and structured data formats.
• Practical understanding of generative AI, large language models, prompts, embeddings, vector search, retrieval-based architectures, agents, and model limitations.
• Experience with cloud application development, authentication, authorization, monitoring, logging, testing, source control, and deployment automation.
• Familiarity with Microsoft technologies such as Microsoft Foundry, Azure AI services, Copilot Studio, Power Platform, Microsoft Fabric, SharePoint, Teams, and Microsoft Graph is an asset.
• Experience integrating enterprise systems, knowledge repositories, databases, or business applications is an asset.
• Understanding of responsible AI, privacy, security, data governance, records management, and intellectual property considerations.
• Ability to troubleshoot complex issues, assess technical trade-offs, and explain recommendations clearly.
• Strong analytical, problem-solving, documentation, communication, and collaboration skills.

You Have:

• Demonstrates alignment with West Fraser values and acts with ownership, accountability, curiosity, and sound judgment.
• Builds solutions around measurable business outcomes rather than technology alone.
• Balances rapid experimentation with engineering quality, security, governance, and long-term supportability.
• Validates AI-generated outputs and does not assume that model responses are accurate or complete.
• Works effectively across business, data, integration, platform, security, privacy, and vendor teams.
• Creates simple, reusable, and well-documented solutions instead of unnecessary complexity.
• Can work independently while communicating decisions, risks, assumptions, dependencies, and next steps.
• Continuously learns as AI platforms, models, risks, and engineering practices evolve.

Modern Capabilities to Emphasize

Capability

What it means in this role

Build maintainable AI applications, assistants, agents, and workflow components.

Retrieval and grounding

Connect AI solutions to approved enterprise knowledge using secure retrieval patterns.

Design instructions, context, tools, and structured outputs that improve solution quality.

Connect AI capabilities with business systems through secure APIs, connectors, and automation.

Evaluation and testing

Measure quality, safety, reliability, latency, and cost against defined acceptance criteria.

Apply identity, access, data protection, source control, testing, and deployment practices.

Operational support

Monitor production solutions, investigate issues, and improve performance and reliability.

Create components, templates, standards, and documentation that accelerate future delivery.

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:

• This position is based in our Vancouver, BC corporate office with 4/5 days in-office collaboration; 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.