Forward Deployed Engineer

Published October 25, 2026 · Updated November 1, 2026

$200,000–$375,000San Francisco, CAOn-site7d ago

Own end-to-end deployments of an enterprise AI platform for customers operating complex SAP environments, from workflow scoping and agent configuration through production launch and iteration.

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View posting at FlowGen Labs

At a glance

Posted base pay

$200K–$375KAbove the median

Median $188K

This job$200K–$375KTypical senior FDE payMiddle 50% of 1,837 postings$160K–$219K

The work

Builds what the customer runs

Balance

Mostly building
Mixed
Mostly pre-sales or support

Project stages

Pre-sales (not covered)
Proof of concept (not covered)
Implementation
Operations

Coding: Configuration only
Builds for: External customers
Level: Senior
Role: Individual contributor

What they ask for

Tools

SAP
enterprise AI agents
retrieval
agent workflows
prompts
evaluation plans
integration specifications
guardrails

Visa

Sponsors visas

Less common in FDE jobs

Coding work: Configuration only13%
Sponsors visas22%
On-site37%

Share of US FDE postings that state each fact.

The job description from FlowGen Labs

Posted by FlowGen Labs on Oct 25, 2026

About Us

FlowGen Labs is a frontier enterprise AI company building the zero-touch enterprise: context-aware agents that operate inside deeply customized SAP environments at machine speed, grounded in each company’s ontology, current operational data, and operating procedures so complex workflows can run autonomously instead of relying on manual support teams. FlowGen is focused on turning legacy ERP from a system of record into an execution layer for finance and operations. Deployed at Fortune 500 companies across CPG, distribution, high-tech, and oil and gas, FlowGen Labs brings together a frontier AI and SAP team from DeepMind, SAP, Meta AI, and Amazon AGI Labs.

Role Summary

You will own end-to-end execution of platform deployments for enterprise customers. You will scope high-leverage workflows, configure agent behavior, validate integrations and guardrails, and drive launches from first customer conversation through production iteration. You will work directly with stakeholders inside complex SAP environments and help turn customer needs into repeatable platform improvements.

Write and maintain key agent-building artifacts, including AOPs, integration specs, evaluation plans, and customer-facing technical documentation.
Configure agent behavior across planning, tool use, retrieval, prompts, workflows, and operating procedures.
Configure and validate guardrails so agents operate safely, compliantly, and predictably in real-world enterprise scenarios.
Hands-on use of AI tools with clear ideas for applying AI to development, testing, data, and support.
Design the right abstractions for repeatable deployments and partner closely with the Platform team to implement them.
Ownership mentality, crisp communication, and comfortable making decisions with 80 percent information.
Move fast without breaking things, not afraid to learn new stacks, bring a we will figure it out attitude.