Principal AI Architect for Business Systems

Trimble•Dayton, OH

7d•Onsite

About The Position

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.

Requirements

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, 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

Nice To Haves

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.

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)