> 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 (Generative AI)

Canonical URL: https://nextmove.md/fde/jobs/550688101961dde8

Tiger Analytics posts a FDE role to build what the customer runs, remote, hiring in Texas with no pay posted. Deploys and scales enterprise generative AI solutions within customer engineering teams, connecting LLMs and retrieval systems to production infrastructure across cloud environments. Read from the employer’s posting on November 8, 2026.

- [Tiger Analytics](https://nextmove.md/fde/companies/tiger-analytics)

First seen Oct 24, 2026 · open on Workable as of Nov 8, 2026

Pay not posted Remote, hiring in Texas Full-time

Deploys and scales enterprise generative AI solutions within customer engineering teams, connecting LLMs and retrieval systems to production infrastructure across cloud environments.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F550688101961dde8&placement=top)
- [View posting at Tiger Analytics](https://apply.workable.com/j/29FED3638E/apply)

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

Not posted

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 (not covered)
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### Do you meet what the posting states?

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

The work is remote from the US. Can you work from the US?

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**: Austin, TX

- **Work arrangement**: Remote

- **Employment type**: Full-time

## More like this

[Tiger Analytics](https://nextmove.md/fde/companies/tiger-analytics)

### [Forward Deployed Engineer (Generative AI)](https://nextmove.md/fde/jobs/42a85d57f1ca8e62)

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### [Staff Forward Deployment Engineer](https://nextmove.md/fde/jobs/6cd7c47ee1a1a108)

Austin, TX Remote 9d ago

$140,960–$193,820

- [Other jobs at Tiger Analytics (5)](https://nextmove.md/fde/companies/tiger-analytics)

## The job description from Tiger Analytics

### Description

Tiger Analytics is looking for experienced **Forward Deployment Engineer (Generative AI) **with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

### Role Overview

The **Forward Deployment Engineer (FDE)** drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

### Requirements

**Agentic Design & Implementation**
● Develop intelligent agents using Vertex AI Agent Builder to automate complex
business workflows.
● Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
that collaborate to solve end-to-end business challenges.
● Implement tools like MCP (Model Context Protocol) Toolbox to securely connect
agents to enterprise databases like BigQuery and Spanner.

**AI on Data Strategy**
● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless
integration with BigQuery for feature engineering.
● Build and optimize streaming data pipelines (e.g., via Dataflow) to execute
real-time inference using RunInference API or Vertex AI endpoints.
● Ground AI models in live business context using vector engines within BigQuery or
AlloyDB to eliminate "AI amnesia".

**Operational Excellence (Soft Skills)**
● Active Participation: Show up promptly for all internal and client-facing meetings.
● Transparent Communication: Provide regular, structured status updates to team
members and stakeholders regarding project milestones and technical blockers.
● Proactive Collaboration: Demonstrate the ability to ask for help when facing
technical hurdles and contribute to a collaborative troubleshooting environment.
● Consultative Approach: Navigate corporate environments to translate high-level
business goals into robust technical architectures.

**Technical Qualifications**
● Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and
model evaluation.
● Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
engineering, and data preprocessing techniques (scaling, encoding, imputation).
● Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex
AI endpoints.
● Emerging Tech: Familiarity with stateful real-time processing and the latest
innovations in agentic architectures.

### Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

* **Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***

[View posting at Tiger Analytics](https://apply.workable.com/j/29FED3638E/apply)

## About Tiger Analytics

Global AI and advanced analytics consulting firm delivering data strategy, data engineering, AI/ML, application engineering, business intelligence, and MLOps services.

5000+ people

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