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NEXTMOVEFDE careers · United States
Indicium AI

Forward Deployed AI Engineer

AI summary of the role

Senior Forward Deployed AI Engineer bridging enterprise data estates (Databricks, Lakehouses) with frontier agentic AI (Claude, MCP).

What you’ll do

  • Architect and deploy custom MCP servers and agentic tooling for autonomous AI agents across 10+ enterprise data sources
  • Build high-performance data pipelines, vector search, and hybrid RAG layers over Databricks, PySpark, Delta Lake, Unity Catalog
  • Embed with client technical teams to run discovery, lead architecture reviews, and ship zero-to-one PoCs in weeks
  • Implement LLM evaluation frameworks, observability pipelines, and guardrails for regulated environments (Financial Services, Healthcare)

What you’ll bring

  • 5+ years with Databricks, PySpark, Delta Lake, SQL, and Python
  • Proven production experience with multi-agent systems, RAG platforms, and MCP servers (LangGraph, AutoGen, or CrewAI)
  • Strong quantitative/statistical foundation (M.S./Ph.D. or equivalent) for model evals and uncertainty
  • Client-facing consultative skills: technical discovery, stakeholder management, and co-engineering on-site

Technologies

MCP · LangGraph · AutoGen · CrewAI · Databricks · PySpark · Delta Lake · Unity Catalog · RAG · vector search · Python · SQL

Source and classification

Production engineering · Evidence for this classification:

Forward Deployed Software Engineer — US / NYC About Indicium AI Indicium AI was Anthropic’s first European launch partner, a Preferred Anthropic Partner, and sits among a handful of organizations globally trusted to deploy Claude at an enterprise scale. Named the 2026 Databricks Consulting Partner of the Year and backed by Databricks Ventures, we build and deploy production AI systems for complex enterprises, making AI a genuine competitive advantage. The Role The Senior Forward Deployed AI Engineer, Data Platform & Agents bridges the gap between complex enterprise data estates (Databricks, Lakehouses, vector stores) and frontier agentic AI execution (Anthropic Claude, multi-agent frameworks, custom MCP servers). Sitting embedded directly with client CDOs, VPs of Data, and engineering leadership, you will translate messy operational workflows and fragmented data sources into
More from the job description

Forward Deployed Software Engineer — US / NYC About Indicium AI Indicium AI was Anthropic’s first European launch partner, a Preferred Anthropic Partner, and sits among a handful of organizations globally trusted to deploy Claude at an enterprise scale. Named the 2026 Databricks Consulting Partner of the Year and backed by Databricks Ventures, we build and deploy production AI systems for complex enterprises, making AI a genuine competitive advantage. The Role The Senior Forward Deployed AI Engineer, Data Platform & Agents bridges the gap between complex enterprise data estates (Databricks, Lakehouses, vector stores) and frontier agentic AI execution (Anthropic Claude, multi-agent frameworks, custom MCP servers). Sitting embedded directly with client CDOs, VPs of Data, and engineering leadership, you will translate messy operational workflows and fragmented data sources into production-grade multi-agent platforms, real-time context retrieval systems, and LLM evaluation architectures. This is a high-agency "builder-consultant" role for engineers who care as much about stakeholder adoption and runtime business impact as they do about model accuracy, protocol design, and low-latency data execution. Key Responsibilities Agentic Tooling & MCP Architecture: Architect and deploy custom data interfaces and tool servers using the Model Context Protocol (MCP), function calling, an [... source excerpt omitted ...] nments (Databricks, PySpark, Delta Lake, Unity Catalog)—slashing retrieval times and optimizing CPU/GPU query runtimes over massive structured and unstructured datasets. Embedded Client Execution & PoCs: Sit side-by-side with client technical teams to run daily requirements discovery, lead architecture reviews, and rapidly ship zero-to-one production Proofs of Concept (PoCs) in weeks rather than months. LLM Evals, Observability & Guardrails: Implement robust evaluation frameworks (LLM evals, hallucination tracking, retrieval precision/recall) and observability pipelines to monitor non-deterministic agent behavior and guarantee reliability in strictly regulated enterprise envi [... source excerpt omitted ...] client CISO and security governance teams to enforce strict access-control lists (ACLs), multi-tenant isolation, row/column-level permissions, and zero-data-leakage constraints. Qualifications & Experience Agentic AI & Orchestration: Proven track record building and deploying production multi-agent systems, RAG platforms, and MCP servers using frameworks like LangGraph, AutoGen, or CrewAI. Data Engineering & Lakehouse Depth: 5+ years of experience with Databricks, PySpark, Delta Lake, SQL, and Python—with specific expertise optimizing high-QPS analytical queries and processing unstructured enterprise documents (PDFs, contracts, logs). Statistical Rigor & Model Evals: Strong founda

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