TPM, Fwd Deployed Engineer, Business Innovation and AI
Amazon
- Location
- Onsite (Nashville, Tennessee · Bellevue, Washington)
- Compensation
- $120k - $172k/yr
- Employment
- Full-time
- Level
- Mid Level
Posted 1 day ago
About the Role
Join Amazon's Forward Deployed Engineering team to build and deploy AI-powered agentic solutions that replace manual workflows within Global Operations Services. This hands-on role involves embedding with operational teams to co-build, ship, and scale AI programs using modern LLM tooling.
Skills
Technical program management
AI agents
LLM application frameworks
RAG
Software engineering
Rapid prototyping
Python
Java
C#
SQL
AWS
Infrastructure as code
Data pipelines
System profiling
Debugging
Stakeholder management
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) matching
- Paid time off
- Parental leave
- Life insurance
Perks
- Restricted stock units
- Sign-on payments
Full job details
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. Basic Qualifications: - 3+ years of technical program management experience
- Experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications, or experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP) and experience with automation and any version control tools
- Experience working with multiple groups of stakeholders
- Bachelor's degree or above in computer science, computer engineering, or related field, or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience in debugging, profiling, and implementing software engineering best practices in large-scale systems Preferred Qualifications: - Experience building complex software systems that have been successfully delivered to customers, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Experience in professional, non-internship software development, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Experience building AI agents that replace manual or UI-driven workflows
- Fluency with the current GenAI tooling landscape (Amazon Bedrock, agent frameworks, LLM-powered workflows)
- Experience in rapid-prototyping, forward-deployed, or embedded engineering models
- Experience with AWS and Infrastructure as Code
- Data or analytics experience (SQL, pipelines, connecting source data to a customer need)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, TN, Nashville - 120,800.00 - 163,400.00 USD annually
USA, WA, Bellevue - 127,100.00 - 172,000.00 USD annually
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. Basic Qualifications: - 3+ years of technical program management experience
- Experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications, or experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP) and experience with automation and any version control tools
- Experience working with multiple groups of stakeholders
- Bachelor's degree or above in computer science, computer engineering, or related field, or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience in debugging, profiling, and implementing software engineering best practices in large-scale systems Preferred Qualifications: - Experience building complex software systems that have been successfully delivered to customers, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Experience in professional, non-internship software development, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Experience building AI agents that replace manual or UI-driven workflows
- Fluency with the current GenAI tooling landscape (Amazon Bedrock, agent frameworks, LLM-powered workflows)
- Experience in rapid-prototyping, forward-deployed, or embedded engineering models
- Experience with AWS and Infrastructure as Code
- Data or analytics experience (SQL, pipelines, connecting source data to a customer need)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TN, Nashville - 120,800.00 - 163,400.00 USD annually
USA, WA, Bellevue - 127,100.00 - 172,000.00 USD annually