> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Forward Deployed AI Engineer

Canonical URL: https://nextmove.md/fde/jobs/626f9f4c8619387b

Indicium AI posts a senior FDE role to build what the customer runs in New York, NY, at $180,000–$240,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Senior Forward Deployed AI Engineer bridging enterprise data estates (Databricks, Lakehouses) with frontier agentic AI (Claude, MCP). Read from the employer’s posting on November 8, 2026.

- [Indicium AI](https://nextmove.md/fde/companies/indicium-ai)

Posted Aug 4, 2026 by Indicium AI · open on Greenhouse as of Nov 8, 2026

**$180,000–$240,000** New York, NY Full-time

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

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F626f9f4c8619387b&placement=top)
- [View posting at Indicium AI](https://job-boards.eu.greenhouse.io/indiciumai/jobs/4944657101)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$180K–$240K Above the median

Midpoint $210K · median $190K

This job $180K to $240K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** Databricks, PySpark, Delta Lake, SQL, and Python

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in New York, NY. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: New York, NY

- **Employment type**: Full-time

- **Pay**:

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- [Other jobs at Indicium AI (2)](https://nextmove.md/fde/companies/indicium-ai)

## The job description from Indicium AI

Posted by Indicium AI on Aug 4, 2026

### 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, and structured JSON schemas—enabling autonomous AI agents to query, synthesize, and execute actions across 10+ disparate enterprise data sources safely.
- **Enterprise Lakehouse & Retrieval Engineering:** Build high-performance data pipelines, vector search, and hybrid RAG layers over Lakehouse environments (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 environments (Financial Services, Healthcare).
- **Enterprise Security & Data Isolation:** Collaborate with 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 foundation in quantitative methods, statistics, or applied ML (M.S./Ph.D. or equivalent industry experience) to evaluate model uncertainty, ground truth, and non-deterministic systems systematically.
- **Client-Facing / Consultative Muscle:** Demonstrated ability to run technical discovery calls, manage non-technical client stakeholders, handle technical pushback, and lead co-engineering efforts on-site.

### Why Indicium AI

- **Deep Anthropic Partnership:** Work at the bleeding edge as a Preferred Anthropic Partner, with direct access to partner teams, official training, and early access to unreleased capabilities.
- **High Autonomy Culture:** Sharp, high-agency teams with no middle-management layers or corporate theater.
- **Frontier-Level L&D:** Generous learning budget, dedicated research time, and unencumbered access to state-of-the-art AI tools.
- **Top-Tier Benefits:** Competitive pay with performance bonuses, comprehensive health coverage, generous PTO, flexible holidays, parental leave, and a paid company shutdown the last week of December.

*The anticipated base salary range for this role is $180,000 - $240,000. In addition to base pay, this position may be eligible for an annual discretionary bonus. An individual's final salary offer will be determined based on a variety of factors, including geographic location, experience, specialized skills, and qualifications. This compensation range is subject to updates or modifications at the company’s discretion*

[View posting at Indicium AI](https://job-boards.eu.greenhouse.io/indiciumai/jobs/4944657101)

## About Indicium AI

Global AI-native consultancy helping large enterprises turn data and AI strategy into governed, production systems and measurable business outcomes.

Late-stage private · 500–1000 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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