Principal AI Architect for Business Systems

Drive Innovation as our Next Principal AI Architect!

Ready to serve as the technical cornerstone of our AI Center of Excellence and drive the next generation of intelligent business systems? Trimble is seeking a visionary leader to define our global enterprise AI adoption roadmap, bridging cutting-edge research with scalable production. You will command the integration of Generative AI, Machine Learning, and Intelligent Automation to fundamentally transform business operations worldwide.

About Us

Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress. For more information about Trimble (Nasdaq:TRMB), visit: www.trimble.com.

What Makes This Role Great 

We are seeking a visionary Principal AI Architect to serve as the technical steward of our AI Center of Excellence (CoE). In this high-impact role, you will help define the architectural roadmap and solution choices for  the Corporate Business Systems organization. 

You will lead the integration of Agentic AI, Generative AI, Machine Learning, and Intelligent Automation to transform business processes and drive innovation across the organization. This is a unique opportunity to shape the AI future of a global leader. You will help define the standards, and provide direction to a high-performance team that delivers the next generation of intelligent business systems.

Key Exciting Responsibilities

• Architect and lead the technical execution of AI CoE initiatives, ensuring alignment with global business objectives.

• Design and implement GenAI solutions using AWS, Azure, Google Gemini and Google Cloud Platform (GCP) (model selection, prompt design, orchestration, governance)

• Build complex autonomous systems and multi-agent orchestrations leveraging n8n and the Model Context Protocol (MCP).

• Establish best practices for ModelOps, LLM security, data privacy, and ethical AI deployment across the enterprise.

• Integrate AI capabilities into Oracle platforms (Fusion, ERP, integrations) and Salesforce ecosystems (Sales, Service, Data Cloud, APIs)

• Define scalable architectures covering data ingestion, enrichment, model inference, security, and observability

• Work directly with Trimble product, engineering, and business stakeholders to clarify requirements and outcomes

• Drive AI solution delivery with minimal oversight, making architectural and design decisions independently

• Collaborate with delivery teams using JIRA, Confluence, and Agile delivery practices

• Ensure Responsible AI practices including explainability, data privacy, access control, and governance

• Support POCs, pilots, and production rollouts, including performance optimization and cost management on GCP

• Provide mentorship and technical guidance to data engineers and AI developers, fostering a culture of continuous learning and excellence in AI engineering. Lead, AI Center of Excellence (CoE)

Essential Skills and Experience

• 8+ years of overall technology experience with 3–5+ years in AI/ML or GenAI architecture

• Proven experience designing AI solutions on Google Gemini, Google Cloud Platform (GCP), and the overall Google ecosystem, including specific GCP services such as Vertex AI, BigQuery, Cloud Functions, APIs, IAM, logging, and monitoring

• Deep experience with LLMs, GenAI workflows, and GenAI patterns involving RAG architectures, agents, embeddings, prompt engineering, fine tuning, vector stores, grounding, agent orchestration, and MLOps

• Strong integration experience with Oracle (Fusion, ERP, databases, integrations) and Salesforce (Sales/Service Cloud, APIs, Data Cloud), including API‑driven integration patterns between AI services and enterprise platforms

• Proven track record in RPA (UiPath, Automation Anywhere, or similar) integrated with AI

• Strong background in API design, microservices, a