Senior AI Architect Business Systems

Position: Senior AI Architect for Business Systems
Drive Innovation as our Next Senior 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 UsTrimble 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:  Makes This Role Great We are seeking a visionary Senior 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 Model Ops, 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 GCPProvide 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 Experience8+ 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, Big Query, 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…