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 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 its 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: .

What 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 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 35 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 APIdriven 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 and modern cloud-native architectures

• Experience with Oracle Fusion AI Studio Oracle OCI Salesforce Einstein Agentforce and Mulesoft is highly desirable

• Pragmatism: The ability to choose the right solution over the coolest solution to meet a business deadline

• Ability to work independently make architectural decisions and manage ambiguity

• Competency in data pipelines and transformation for structured and unstructured data

• Strong understanding of security compliance and governance in enterprise AI environments

• Strong working knowledge of JIRA Confluence and Agile/Scrum methodologies

• Ability to document architecture decisions and patterns clearly

• Exceptional communication skills with the ability to explain complex AI concepts to non-technical stakeholders and C-suite executives

Bonus Points For

• Specialized experience with Oracle Fusion AI Studio Oracle OCI Salesforce Einstein Agentforce or Mulesoft.

• Background in multi-agent orchestration frameworks like n8n and Model Context Protocol (MCP).

• Experience combining Robotic Process Automation (RPA) tools with advanced generative AI.