TPM, Fwd Deployed Engineer, Business Innovation and AI

About the role

The Forward Deployed Engineering (FDE) team within Business Innovation & AI (BIA) embeds directly with Amazon Global Operations Services (GOS) teams to co‑build AI‑powered solutions from day one, taking prototypes to production and handing scalable patterns back to the broader organization. The role is hands‑on: you build agents that replace manual processes and web‑based interfaces, work with current agentic harnesses (Claude Code, Kiro, Codex), LLM frameworks, and RAG, and iterate with operational stakeholders in real time. FDE focuses on internal impact, redesigning work around what AI agents make possible rather than merely automating existing steps.

Responsibilities

• Build AI & Agentic Solutions, Embedded: embed with GOS operational teams, co‑build from day one, ship AI‑powered solutions that replace manual workflows; look for opportunities to replace manual processes and web‑based interfaces with AI agents; build agents end to end using current AI tooling (agentic harnesses like Claude Code, Kiro, Codex), LLM application frameworks, and RAG; take prototypes to production.
• Program Delivery: own the planning, coordination, and delivery of AI programs, managing scope, risk, and dependencies without direct authority; keep delivery moving across engineers, data scientists, and operational stakeholders.
• Raising the Bar: bring back effective tooling and patterns that work, help the team ship faster, and document and hand off scalable solutions to the broader organization.

Requirements

• 3+ years of technical program management experience.
• Demonstrated software engineering skills via prior internship, work experience, coding competitions, publications, or experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby, PHP) and automation/version‑control tools.
• Experience working with multiple groups of stakeholders.
• Bachelor's degree or above in computer science, computer engineering, or a related field, or experience in STEM.
• Experience developing and deploying LLMs in production on GPUs, Neuron, TPU, or other AI acceleration hardware, or experience debugging, profiling, and implementing software engineering best practices in large‑scale systems.

Preferred Qualifications

• Experience building complex software systems successfully delivered to customers.
• Experience developing and deploying LLMs in production on GPUs, Neuron, TPU, or other AI acceleration hardware.
• Professional, non‑internship software development experience.
• 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 customer needs).

Skills

• Agentic harnesses: Claude Code, Kiro, Codex.
• LLM application frameworks and RAG.
• Programming/scripting languages (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby, PHP).
• Automation and version‑control tools.
• AWS and Infrastructure as Code.
• SQL and data pipelines.
• Experience with LLMs on GPUs, Neuron, TPU, or other AI acceleration hardware.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D, optional supplemental life plans).
• Employee Assistance Program, Mental Health Support, Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign‑on payments and restricted stock units (RSUs) as part of the total package.

Pay

• Nashville, TN: $120,800 – $163,400 USD annually.
• Bellevue, WA: $127,100 – $172,000 USD annually.
• Final compensation based on experience, qualifications, and location; includes sign‑on payments and RSUs.