Architect Next-Generation Agentic Platforms as a Staff Agentic Artificial Intelligence Engineer
Are you a systems architect and hands-on engineer ready to define the frontier of enterprise agentic systems? Trimble is seeking an exceptional Staff Agentic Artificial Intelligence Engineer to own the end-to-end design and realization of our enterprise AI platform on Microsoft Azure. In this foundational role, you will architect large-scale document and data ingestion fabrics, advanced retrieval-augmented generation (RAG) engines, and autonomous agent workflows powered by the Model Context Protocol (MCP) and Databricks.
About Us:
Dedicated to the world’s tomorrow, Trimble is a technology company delivering solutions that enable our customers to work in new ways to measure, build, grow and move goods for a better quality of life. Core technologies in positioning, modeling, connectivity and data analytics connect the digital and physical worlds to improve productivity, quality, safety, transparency and sustainability. From purpose-built products and enterprise lifecycle solutions to industry cloud services, Trimble is transforming critical industries such as construction, geospatial, agriculture and transportation to power an interconnected world of work. For more information about Trimble (NASDAQ: TRMB), visit: www.trimble.com
Our AI & Data Ecosystem: We build the connected data platforms and intelligent agent fabrics that power decision-making across complex physical-world workflows. By marrying deep domain telemetry with high-throughput Databricks data engines, Azure AI infrastructure, and autonomous agentic ecosystems, we transform fragmented operational data into real-time intelligence for global industries.
What Makes This Role Great:
In this high-visibility staff role based out of our Chennai engineering center, you will serve as the primary architecture authority bridging complex data pipelines with production agentic execution. You will hold architectural ownership over solution designs, sequence diagrams, and Architecture Decision Records (ADRs) while retaining the hands-on technical depth to debug distributed systems and write mission-critical code. Collaborating daily with US engineering peers and product stakeholders, you will shape how autonomous agents orchestrate work across the enterprise using open, secure protocols.
Key Exciting Responsibilities
End-to-End Solution Architecture: Own the full architectural lifecycle for AI and data ecosystems—from source-system ingestion through Databricks transformation, retrieval layers, and model serving, to user-facing APIs and autonomous agents.
Databricks Platform Leadership: Architect workspaces, compute policies, and Unity Catalog governance. Design scalable batch and streaming pipelines following the Medallion architecture (Bronze, Silver, Gold), optimizing Apache Spark and Delta Lake workloads for extreme throughput and cost efficiency.
Agentic Workflows & MCP Orchestration: Architect agentic AI solutions using frameworks such as LangGraph, LangChain, or Semantic Kernel. Establish enterprise standards for designing, securing, and operating servers and clients built on the Model Context Protocol (MCP).
Azure AI & RAG Engineering: Direct the implementation of high-performance RAG pipelines across the Azure ecosystem (Azure OpenAI, Azure AI Foundry, Azure AI Search, Document Intelligence), engineering hybrid vector/keyword search, semantic ranking, and security trimming strategies.
Enterprise Security & Responsible AI: Design authentication and access control schemes (Entra ID, OAuth 2.0, RBAC, Managed Identities) and build defenses against AI vulnerabilities (prompt injection, data leakage, OWASP Top 10 for LLMs) with robust PII protection.
Technical Leadership & Collaboration: Author comprehensive architecture artifacts (C4 models, ADRs), drive technical roadmap discussions with US product partners, mentor engineering leads, and set organization-wide engineering…