West Fraser

AI Agent Developer

West Fraser$100K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, software engineering, data, or related field, or equivalent experience.
  • 5-7 years of experience developing and supporting enterprise applications, automation solutions, or cloud services.
  • Strong programming skills in Python, C#, TypeScript, or similar; experience with SQL, APIs, and structured data formats.
  • Practical understanding of generative AI, large language models, and retrieval-based architectures.
  • Experience with cloud application development and Microsoft technologies is a plus.

Responsibilities

  • Design, build, test, deploy, and support AI-powered applications and solutions.
  • Translate requirements and designs into maintainable technical components.
  • Build retrieval-based solutions that leverage enterprise knowledge.
  • Develop integrations between AI solutions and enterprise platforms.
  • Evaluate model and solution outputs against defined criteria for quality and performance.
  • Implement safeguards for human reviews, exception handling, and data protection.
  • Monitor production solutions and troubleshoot issues for improved performance.

Benefits

  • Comprehensive medical and dental coverage.
  • Pension plan and disability insurance.
  • Life insurance and accident insurance.
  • Vacation and holiday time off.
  • Opportunity for annual bonuses.
Full Job 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

AI application engineering

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

Retrieval and grounding

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

Context engineering

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

Enterprise integration

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.

Secure delivery

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

Operational support

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

Reusable engineering patterns

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:

  • Based in Memphis, TN or Vancouver, BC, 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.

About West Fraser

West Fraser Timber Co. Ltd. is a Canadian forestry company that produces lumber, LVL, MDF, plywood, pulp, newsprint, and wood chips based in Quesnel BC, Canada. West Fraser Timber Co. Ltd. is a member of the Forest Products Association of Canada. West Fraser Timber Co. Ltd. was twice recognized as one of Canada's Most Admired Corporate Cultures and five times as Canada's Top 100 Employers in 2017. Also, the company was recently named for the fourth time as one of Canada's Top 100 Employers and Canada's Best Employer for Recent Graduates for 2018. West Fraser was founded by three brothers from Seattle: Pete, Bill and Sam Ketcham in 1955. The three brothers decided to do business together and purchased a small planing mill in Quesnel, British Columbia. Over the years the company grew, "West Fraser has become the largest lumber manufacturer in North America with 8,600 employees globally – about 5,000 in Western Canada – at about 50 locations." In April 2020, it was revealed that Jim Pattison had upped his stake in West Fraser to 13.8% ownership, prompting speculation that the Canadian billionaire had plans to merge the company with Canfor, of which he owns 51%. In response, West Fraser adopted a shareholder rights plan or "poison pill" in order to defend against any attempts at a takeover.
Learn more about West Fraser
Size
8,200 employees
Market Cap
$7.8 billion
Industry
5 Year Trend
+18.8%
NASDAQ

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