Federal Civilian AI Tech Lead, Federal Civilian BD

AI in this role

Drive AI and Agentic AI technical scoping, enablement, and solutions architecture across Federal Civilian accounts at AWS.

amazon-connect

generative-aiagentic-aiproduct-managementcloud-computing

Accelerate delivery-engineer enablement — deliver hands-on “teach by doing” sessions that directly support engineer-led customer engagements, create technical curriculum, reference architectures, and hands-on labs that multiply delivery capacity.

Maintain technical quality by reviewing and elevating engineer-developed demos, whitepapers, and POC artifacts to ensure rigor and consistency, directly supporting the engagement playbook and standards mechanism.

Support technical discovery and scoping for AI and Agentic AI opportunities within assigned Federal Civilian accounts, partnering with account managers, solutions architects, AWS Professional Services, and SI/ISV partners.

Represent the team as a technical subject matter expert (SME) in customer meetings, positioning AWS AI solutions with credibility and depth.

Key job responsibilities
- Own technical execution across Data & AI Strategy, Product Management, and Market Intelligence — providing technical validation to assess AI maturity, qualify use cases, and measure meaningful outcomes across the Federal Civilian portfolio.
- Technically author and maintain the AI Accelerator catalog — build, validate, and version repeatable accelerators (GenAI, Agentic AI, Data Foundation, Amazon Connect, FWA, Supply Chain, Data Center/Mainframe Migration) that Product Management packages for reuse across the field.
- Accelerate CDE enablement activities — facilitate discovery and scoping for POCs and prototypes, document processes and best practices, and deliver hands-on "teach by doing" sessions that directly support CDE-led customer engagements.
- Serve as the technical quality backstop — review and elevate CDE-developed demos, whitepapers, and POC artifacts to ensure technical rigor and consistency, directly supporting the Engagement Playbook & Standards mechanism.
- Build and scale the "train the trainer" flywheel — create technical curriculum, reference architectures, and hands-on labs that multiply CDE capacity and enable rapid onboarding as the team scales.
- Lead technical discovery and scoping for AI and Agentic AI deals across Federal Civilian agencies, partnering with account managers, solutions architects, ProServe, GenAI Innovation Center, and SI/ISV partners.
- Serve as a customer-facing technical SME

About the team

This team is a single, integrated engine purpose-built to accelerate revenue and grow the 2027 pipeline for AWS Federal Civilian. Rather than operating in silos, the team follows a connected motion — Find → Shape → Productize → Execute — so that every AI opportunity moves from raw signal to realized customer value without gaps.

AWS values diverse experiences. Even if you don't meet all preferred qualifications, we encourage you to apply. Whether your career is just starting, hasn't followed a traditional path, or includes alternative experiences — don't let it stop you from applying.

Basic qualifications

- 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience implementing a cloud-based technology solution, or experience architecting/operating solutions built on AWS
- Experience working with engineering and technical teams to build automated solutions

Preferred qualifications

- 3+ years of technology platform sales with an understanding of government IT, data centers, cloud services and cloud adoption experience
- Experience with AI/ML technologies
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience building scalable programs and repeatable scalable processes, levering various tools and methods to create scale and efficiency

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, VA, Arlington - 147,900.00 - 200,100.00 USD annually

How we rate this

Federal Civilian AI Tech Lead, Federal Civilian BD at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Generative AIAgentic AIProduct ManagementCloud ComputingAmazon Connect

Questions you could be asked

Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Walk me through how you've used Amazon Connect in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Generative AI, Agentic AI, Product Management, Cloud Computing, and Amazon Connect. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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