Sr TPM, Fwd Deployed Engineer , Business Innovation and AI

The Forward Deployed Engineering (FDE) team within Business Innovation & AI (BIA) is looking for a Senior 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 an FDE role first with a data engineering edge. The core of the job is building AI and agentic solutions embedded with operational teams. On top of that you own the teams data and data-engineering strategy and infrastructure the pipelines and architecture and data-quality decisions our AI work depends on.

This is a builder role. Were 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.


Key job responsibilities
Build AI & Agentic Solutions Embedded (the primary work)
- Embed with GOS operational teams co-build from day one and ship AI-powered solutions that change how work gets done
- 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
- Drive the planning coordination and delivery of FDEs AI programs managing risk and dependencies without relying on direct authority
- Turn ambiguous operational problems into shipped solutions and own the longer-horizon programs where the answer takes more than one build cycle

Data & Data-Engineering Strategy (the DE edge)
- Own the teams data and data-engineering strategy and infrastructure: the architecture technology choices and roadmap our AI work depends on
- Make the calls on how operational data becomes AI-ready and keep data quality lineage and freshness where the team can trust it
- Connect source data to what the customer actually needs: find the right source get the subscription in place and build the pipeline that keeps it flowing
- Make and defend the opinionated architecture calls (lakehouse vs. warehouse batch vs. streaming how far to normalize a domain) grounded in each use case

Raising the Bar
- Define the reusable patterns and standards that raise the bar for the whole team and mentor engineers on them


A day in the life
You start the morning embedded with an operations team working through a manual workflow youre replacing with an agent. By mid-morning youre building against it with current tooling and putting the next iteration in front of the afternoon you switch to the data side making the call on how a new data domain gets modeled and subscribed into the platform so the agent has what it needs. You close the day reviewing a teammates design against the patterns you set and re-cutting the roadmap for a program that has two quarters left to run.

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 BIAs 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 dont just automate the existing process; we redesign the work around what AI and agents make possible.

- 5 years of technical program management experience
- Experience developing deploying and managing AI products at scale
- Knowledge of data engineering pipelines cloud solutions ETL management databases visualizations and analytical platforms
- Experience with SQL and Python scripting
- Bachelors degree in computer science engineering mathematics or equivalent or Bachelors degree or above in computer science engineering analytics mathematics statistics IT or equivalent
- Experience with AWS data services (S3 Glue Athena Redshift or an equivalent cloud data stack)
- Experience driving technical programs across multiple teams without direct authority

- Experience defining and driving an analytics roadmap
- 5 years of data modeling experience
- A track record of shipping bespoke AI and agentic solutions from scratch and active engagement in AI builder communities
- Experience building AI agents that replace manual or UI-driven workflows
- Familiarity with Amazons internal data ecosystem (Andes data subscriptions and getting access to source data across orgs)
- Fluency with the current GenAI tooling landscape (Amazon Bedrock agent frameworks LLM-powered workflows)
- Experience with Infrastructure as Code (CDK CloudFormation Terraform)
- Experience with real-time or streaming data infrastructure (Kinesis Kafka Flink)
- Experience mentoring engineers and defining reusable patterns that scale beyond a single team

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 for more information. If the country/region youre applying in isnt 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 TN Nashville - 141300.00 - 191100.00 USD annually
USA WA Bellevue - 148700.00 - 201200.00 USD annually