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Principal AI Architect - Manufacturing & Forestry

WeyerhaeuserSeattle, Washington🇺🇸United StatesPosted Sep 24, 2026

Why This Role Stands Out

As a Principal AI Architect at Weyerhaeuser, you'll shape the future of sustainable manufacturing and forestry by designing innovative AI solutions, offering significant opportunities for technical leadership and impact. This hybrid role is ideal for experienced AI professionals who thrive on building scalable architectures and guiding strategic AI roadmaps within a reputable industry leader. You are encouraged to apply and contribute to meaningful advancements in safety and environmental stewardship.

Quick Overview

Seniority
Leader
Employment type
Full Time
Work mode
Hybrid
Location
Seattle, Washington, United States

Job Description

Weyerhaeuser is seeking a Principal AI Architect to lead enterprise AI strategy across our sustainable manufacturing and forestry operations. You will design scalable, secure AI and ML architectures that optimize mill performance, supply chains, and forest resource management. Partnering with data, IT, and business leaders, you will define the AI roadmap, establish MLOps and governance, and guide end-to-end solution delivery from data ingestion to production deployment. This role blends deep technical leadership with meaningful impact on safety, sustainability, and long-term environmental stewardship.

Responsibilities

  • Define and own the enterprise AI architecture roadmap for manufacturing and forestry operations.
  • Design scalable, secure AI and ML platforms and reference architectures.
  • Collaborate with data, IT, and business leaders to identify high-impact AI use cases.
  • Oversee end-to-end AI solution delivery, from data pipelines to model deployment.
  • Establish MLOps, governance, and best practices for model lifecycle management.
  • Ensure AI solutions align with safety, sustainability, and regulatory requirements.
  • Mentor engineers, data scientists, and analysts on AI architecture and standards.
  • Evaluate and integrate emerging AI technologies relevant to manufacturing and forestry.

Required Skills

  • AI architecture
  • Machine learning
  • MLOps
  • Cloud platforms (AWS/Azure/GCP)
  • Data engineering
  • Python
  • Model deployment
  • Data governance
  • Manufacturing analytics
  • Solution design

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