AI Architect-01024337

Weyerhaeuser Co

Seattle, WA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Automation, Best Practices, Cloud Computing, Computer Architecture, Continuous Improvement, Cost Control, Cross-Functional, Data Quality, Data Science, Decision Support, Ecosystems, Emerging Technology, Enterprise Architecture, Evangelism, Forecasting, Forestry, Internet Security, Interoperability, Leadership, MCP - Microsoft Certified Professional, Machine Learning, Memory Hardware, Mentoring, Microsoft Windows Azure, Modeling Languages, Performance Tuning/Optimization, Product Engineering, Prototyping, SAP, Sales Prospecting, ServiceNow, Software Agents, Stewardship, Supply Chain Optimization, Sustainability, System Architecture, System Integration (SI), Systems Maintenance, Use Cases
LOCATION
Seattle, WA
POSTED
30+ days ago

Description Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale.

About the Company

W

Weyerhaeuser Co

About Company:

We grow trees and make forest products that improve lives in fundamental ways. Our wood products are used to build homes, where families are sheltered and raised. Our cellulose fibers are used to make diapers and other hygiene products that keep people clean and healthy. We innovate to use trees in products you may not expect, such as fabric, plastics and energy. We do these things because growing a truly great company isn’t just about great financial results or being a great place to work, it’s also about making a great contribution to society.

INDUSTRY
All
WEBSITE
http://www.weyerhaeuser.com/