Weyerhaeuser · 20 hours ago
Senior AI Architect
Seattle, WA
Full-time
Onsite
Senior Level, Lead/Staff
$136K/yr - $203K/yr
8+ years expWeyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser’s digital transformation, ensuring solutions are scalable, secure, and responsible while driving measurable business value across various domains.
Building MaterialForestryTimber
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
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or a related field
8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments
Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure
Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures
Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks
Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms
Proficiency in Python and familiarity with SQL, R, or Java
Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow)
Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation
Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning
Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability
Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams
Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives
Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration
Preferred
Master's or PhD in AI, Data Science, or a similar discipline
Benefits
Medical
Dental
Vision
Short and long-term disability
Life insurance
Health Savings Account option
Voluntary Long-Term Care
Employee Assistance Programs
Paid company match in addition to our annual contribution equal to 5% of your base salary
3-weeks of paid vacation
Eleven paid holidays per year
Paid parental leave
Company
Weyerhaeuser
Weyerhaeuser is a forest products company that produces and sells wood products, cellulose fibers, and other building materials.
10001+ employees
H1B Sponsorship
Weyerhaeuser has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (2)
2023 (2)
2022 (7)
2021 (3)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$1.75B2025-06-30Post Ipo Debt· $1.75B
1978-01-13IPO
Leadership Team
Devin W. Stockfish
President & CEO and Director
Denise M. Merle
SVP & Chief Administration Officer
Recent News
2026-01-03
2025-12-18
Morningstar.com
2025-12-18
Company data provided by crunchbase