Senior AI Architect for Business Systems

Trimble Inc.•Dayton, OH

7d•$160,900 - $221,300•Onsite

About The Position

Trimble is seeking a Senior AI Architect to serve as the technical steward of its AI Center of Excellence (CoE) and help define the architectural roadmap and solution choices for the Corporate Business Systems organization. The role leads the integration of Agentic AI, Generative AI, Machine Learning, and Intelligent Automation to transform business processes and advance intelligent business systems across the global organization. The architect will design and deliver enterprise AI solutions, establish technical standards and responsible AI practices, and guide a high-performance team. The position works with product, engineering, delivery, and business stakeholders to clarify needs and outcomes, make independent architectural decisions, and support initiatives from proof of concept through production rollout. The role also provides mentorship to data engineers and AI developers. The position is in-office in Dayton, Ohio, or Westminster, Colorado, with no travel requirement. Compensation is listed at $160,900–$221,300, with salary pay and bonus eligibility. Trimble describes benefits including medical, dental, vision, life and disability coverage, time-off and retirement plans; many businesses also offer tax savings plans for health, dependent care, and commuter expenses, paid parental leave, and an employee stock purchase plan.

Requirements

At least 8 years of overall technology experience, including 3–5 or more years in AI/ML or Generative AI architecture.
Proven experience designing AI solutions on Google Gemini, Google Cloud Platform, and the Google ecosystem, including Vertex AI, BigQuery, Cloud Functions, APIs, IAM, logging, and monitoring.
Deep experience with LLMs, Generative AI workflows and patterns, including RAG architectures, agents, embeddings, prompt engineering, fine-tuning, vector stores, grounding, agent orchestration, and MLOps.
Strong integration experience with Oracle Fusion, ERP, databases, and integrations, and Salesforce Sales/Service Cloud, APIs, and Data Cloud, including API-driven integration patterns between AI services and enterprise platforms.
Proven experience with RPA tools such as UiPath or Automation Anywhere, or similar, integrated with AI.
Strong background in API design, microservices, and modern cloud-native architectures.
Ability to choose practical solutions that meet business deadlines.
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 clearly document architecture, decisions, and patterns.
Exceptional communication skills, including the ability to explain complex AI concepts to non-technical stakeholders and C-suite executives.

Nice To Haves

Experience with Oracle Fusion AI Studio, Oracle OCI, Salesforce Einstein, Agentforce, or Mulesoft.
Background in multi-agent orchestration frameworks such as n8n and the Model Context Protocol (MCP).
Experience combining Robotic Process Automation tools with advanced Generative AI.

Responsibilities

Architect and lead the technical execution of AI Center of Excellence initiatives in alignment with global business objectives.
Design and implement Generative AI solutions using AWS, Azure, Google Gemini, and Google Cloud Platform, including model selection, prompt design, orchestration, and governance.
Build autonomous systems and multi-agent orchestrations using n8n and the Model Context Protocol (MCP).
Establish enterprise best practices for ModelOps, LLM security, data privacy, and ethical AI deployment.
Integrate AI capabilities with Oracle platforms, including Fusion, ERP, and integrations, and with Salesforce ecosystems, including Sales, Service, Data Cloud, and APIs.
Define scalable architectures for data ingestion, enrichment, model inference, security, and observability.
Work with product, engineering, and business stakeholders to clarify requirements and outcomes.
Drive AI solution delivery with minimal oversight and make architectural and design decisions independently.
Collaborate with delivery teams using JIRA, Confluence, and Agile practices.
Ensure responsible AI practices, including explainability, data privacy, access control, and governance.
Support proofs of concept, pilots, and production rollouts, including performance optimization and cost management on GCP.
Mentor and provide technical guidance to data engineers and AI developers.

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability coverage
Time-off plans
Retirement plans
Tax savings plans for health, dependent care, and commuter expenses (offered by most businesses)
Paid parental leave
Employee stock purchase plan
Bonus eligibility