> 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 -Neo4j / Knowledge Graph

Canonical URL: https://nextmove.md/fde/jobs/3e57c623a90a5608

Tiger Analytics posts a senior FDE role to build what the customer runs in US with no pay posted. Lead end-to-end AI engineering for the Luma platform, shaping and delivering enterprise-scale Agentic AI solutions as a hands-on technical lead and primary client interface. 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 US Remote Full-time

Lead end-to-end AI engineering for the Luma platform, shaping and delivering enterprise-scale Agentic AI solutions as a hands-on technical lead and primary client interface.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F3e57c623a90a5608&placement=top)
- [View posting at Tiger Analytics](https://apply.workable.com/j/945C6A4A52/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
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### 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**: US

- **Work arrangement**: Remote

- **Employment type**: Full-time

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## The job description from Tiger Analytics

### Description

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.

We are looking for a **Forward Deployed AI Engineer** to build and deploy enterprise **GenAI, RAG, Agentic AI, and Knowledge Graph solutions**. The role involves working directly with customers, rapidly developing POCs/MVPs, and taking solutions into production.

### Requirements

- Build **GenAI, RAG, Agentic AI, and AI-powered applications**.
- Develop **Neo4j Knowledge Graph / GraphRAG solutions** – **must have**.
- Build data and AI pipelines using **Databricks and PySpark**.
- Develop scalable APIs, microservices, and backend applications using **Python or Go**.
- Rapidly prototype and deliver **POCs/MVPs** for customer requirements.
- Deploy AI solutions across **AWS, Azure, or GCP**.
- Work with LLM frameworks, vector databases, Kubernetes, and cloud-native AI infrastructure.
- Troubleshoot and optimize AI applications for performance, scalability, reliability, and cost.
- Act as a technical consultant and work closely with enterprise customers.

### Must-Have Skills

### Neo4j / Knowledge Graph – Mandatory

### Generative AI / LLM / RAG / Agentic AI

### Databricks / Spark / PySpark

### Application Engineering – Python or Go

### Rapid Prototyping / POC Development

- Cloud: **AWS / Azure / GCP**
- Strong problem-solving and debugging skills

### Self-driven, customer-focused, and comfortable working in ambiguous environments

### Good to Have

LangChain, LlamaIndex, LangGraph, AutoGen, GraphRAG, Vector DBs, AWS Bedrock, Azure OpenAI, Kubernetes, Docker, Terraform, vLLM/Triton, PyTorch/Hugging Face.

### Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and 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/945C6A4A52/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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