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Amazon · Nashville, TN

# TPM, Fwd Deployed Engineer, Business Innovation and AI

US, TN, Nashville Operations 

Listed on Amazon’s official careers site. Posted September 28, 2026. Check that it is still open and apply there.
[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10562370/tpm-fwd-deployed-engineer-business-innovation-and-ai)

[OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / TPM, Fwd Deployed Engineer, Business Innovation and AI

## Job description

The Forward Deployed Engineering (FDE) team within Business Innovation & AI (BIA) is looking for a Technical Program Manager who builds. FDE embeds directly with teams across Amazon Global Operations Services (GOS), co-builds with them from day one, and ships working AI-powered solutions. Engagements range from short builds to multi-quarter programs.

### The impact here is internal

you build for the GOS org, not for external customers. We increasingly look for opportunities to replace manual processes and web-based interfaces with AI agents, so a lot of what you build will be agentic.

This is a hands-on builder role. We’re looking for people who are already shipping AI solutions with the current generation of tooling, not people who are newly exploring AI or have only done some prompt engineering. The engineers who do well here are hands-on with agentic harnesses like Claude Code, Kiro, and Codex, and are plugged into the AI builder community closely enough to know what changed this month.

What Makes This Role Different?

Most program roles ask you to coordinate other people’s work from a distance. FDE asks you to sit with the operational team and build the solution yourself. You take prototypes to production and hand scalable patterns back to the broader org.

Key job responsibilities

### Build AI & Agentic Solutions, Embedded

- Embed with GOS operational teams, co-build from day one, and ship AI-powered solutions that replace manual workflows

- Look for opportunities to replace manual processes and web-based interfaces with AI agents, and build those agents end to end

- Build with the current AI tooling yourself, including agentic harnesses (Claude Code, Kiro, Codex), LLM application frameworks, and RAG, and take prototypes to production

### Program Delivery

- Own the planning, coordination, and delivery of your AI programs, managing scope, risk, and dependencies without relying on direct authority

- Keep delivery moving across engineers, data scientists, and operational stakeholders

### Raising the Bar

- Bring back the tooling and patterns that work, and help the team ship faster

- Document and hand off scalable solutions to the broader organization

### A day in the life

You start the morning embedded with an operations team, mapping a manual workflow you’re replacing with an agent. By mid-morning you’re building, wiring it up with current tooling and putting the next iteration in front of them. In the afternoon you iterate with the customer in the room, then push the working pieces toward production. You close the day sharing a tooling trick with the team that cut your build time in half.

### About the team

Business Innovation & AI (BIA) finds the hardest, highest-value problems across Amazon Global Operations Services and builds AI-powered solutions that measurably change how work gets done. Forward Deployed Engineering (FDE) is BIA’s technical execution arm: a small, senior team with high autonomy and a bias for shipping. We embed with operational teams in the GOS org, co-build from day one, ship working solutions, and hand scalable patterns off to the broader organization.

We don’t just automate the existing process; we redesign the work around what AI and agents make possible.

## At a glance
- Posted by the employer: Sep 28, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 20 days
- Location: US, TN, Nashville[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10562370/tpm-fwd-deployed-engineer-business-innovation-and-ai)

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