> 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 Engineer - Healthcare

Canonical URL: https://nextmove.md/fde/jobs/04b444ebcef6e4ca

StackAI posts a FDE role to integrate and configure the product in New York, NY, at $153,000–$200,000 base, below the senior FDE median of $190,000 across 1,864 postings with pay. Forward Deployed Engineer focused on deploying enterprise-grade AI solutions (RAG pipelines, LLM workflows) for strategic healthcare accounts, particularly in payer/provider sectors. Read from the employer’s posting on November 8, 2026.

- [StackAI](https://nextmove.md/fde/companies/stackai)

Posted Mar 30, 2026 by StackAI · open on Ashby as of Nov 8, 2026

**$153,000–$200,000** + equity New York, NY Hybrid Full-time

Forward Deployed Engineer focused on deploying enterprise-grade AI solutions (RAG pipelines, LLM workflows) for strategic healthcare accounts, particularly in payer/provider sectors.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F04b444ebcef6e4ca&placement=top)
- [View posting at StackAI](https://jobs.ashbyhq.com/stack-ai/f6b1d010-12ea-460e-aebb-85e2f7e6de45/application)

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

$153K–$200K Below the median

Midpoint $177K · median $190K

This job $153K to $200K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Integrates and configures it

Balance **Mixed**

Project stages

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

Travel **Up to 20%**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **3+ years** data science, software development, solutions engineering, or generative AI

Background

- **Software engineering**
- **Solutions and customer engineering**
- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 3+ 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

- **Work arrangement**: Hybrid

- **Employment type**: Full-time

- **Travel**: Up to 20%

- **Pay**:

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- [Other jobs at StackAI (1)](https://nextmove.md/fde/companies/stackai)

## The job description from StackAI

Posted by StackAI on Mar 30, 2026

**About the role**
We’re seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This role is vital to expanding our reach with strategic healthcare accounts, especially across provider, payer, and adjacent healthcare sectors. Experience with healthcare enterprise accounts, especially in payer/provider environments, including EHR integrations, claims workflows, and working with PHI securely. Life sciences or medical device experience is a plus.

**Role Overview**
You will integrate large language models into healthcare enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the StackAI platform, you’ll partner with clients to co-design solutions for operational and clinical-adjacent workflows. We’re looking for someone with experience in the **payer/provider space**, including **EHR integrations, claims processing, and working with PHI securely**. Experience in **life sciences or medical devices** is a strong plus, especially in workflows such as **CAPA, complaints, quality, and regulatory operations**.

### Responsibilities

- Optimize and support solutions within strategic healthcare accounts on the StackAI platform
- Work directly with payer, provider, and healthcare customers to understand workflows, systems, and implementation requirements
- Design and deploy AI workflows for use cases such as claims processing, prior authorization, clinical documentation, patient operations, and knowledge retrieval
- Support integrations with EHRs, healthcare data systems, APIs, and enterprise tools
- Help customers build solutions that account for PHI, HIPAA, access controls, and auditability requirements
- Map requirements and relationships within target customer organizations
- Pursue opportunities and provide feedback on go-to-market strategy for healthcare accounts
- Contribute directly to the StackAI codebase, translating customer feedback into platform improvements across the Python backend and React/Next.js TypeScript frontend
- Write proposals, pitch stakeholders, and lead product demos
- Evangelize StackAI at enterprise events and customer meetings

### Requirements

- 3+ years of experience in data science, software development, solutions engineering, or generative AI
- Experience working with strategic enterprise accounts, preferably in healthcare
- Experience in the payer/provider space, especially with **EHR integrations, claims workflows, revenue cycle, or payer/provider operations**
- Familiarity with handling **PHI and sensitive healthcare data** in production environments
- Experience with strategic enterprise accounts, preferably Fortune 500.
- Expertise in AI/ML, RAG pipelines, LLM workflows, and enterprise data analytics
- Strong communication skills and ability to work across technical and business stakeholders
- Eagerness to build in a fast-paced environment
- Ability to travel 10–20% of the time

### Preferred Qualifications

- Experience with healthcare interoperability standards such as **FHIR, HL7, X12, or EDI**
- Experience with provider or payer platforms such as **Epic, Cerner, athenahealth, or similar systems**
- Background in **life sciences or medical devices**
- Familiarity with workflows such as **CAPA, complaint handling, quality systems, or regulatory documentation**

### About StackAI

Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:

- **Chatbots and Assistants**: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
- **Document Processing**: apps to answer questions, summarize, and extract insights from any document, no matter how long.
- **Answer Questions on Databases**: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
- **Content Creation**: generate tags, summaries, and transfer styles or formats between documents and data sources.

[View posting at StackAI](https://jobs.ashbyhq.com/stack-ai/f6b1d010-12ea-460e-aebb-85e2f7e6de45/application)

## About StackAI

StackAI is an enterprise platform for building, deploying, and governing AI agents that connect business data and systems to automate complex workflows.

Acquired · 50–100 people

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