Sr. Technical Account Manager. (AI/ML), National Security - ES US-ADC

Sr. Technical Account Manager. (AI/ML), National Security - ES US-ADC at Amazon — Jessup, MD, US

  • Company: Amazon
  • Location: Jessup, MD, US
  • Posted: 2026-09-11

About this role

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

National Security customers are moving their most sensitive mission-critical workloads to AWS and they need a technical advisor who understands both the technology and the stakes. As our Enterprise Support footprint grows across classified environments we're adding a Sr. Technical Account Manager (TAM) to meet that demand head-on.

In this role you are the single most important technical relationship our National Security customers have at AWS. You'll work where cloud architecture meets operational health and customer strategy going hands-on with customers as they adopt services like EC2, S3, DynamoDB, RDS, Lambda, SageMaker, ECS/EKS, GuardDuty, Systems Manager, OpenSearch, and Bedrock inside classified environments. You won't troubleshoot tickets directly but you will own the technical trajectory of your accounts: identifying risks before they become incidents driving architecture decisions that hold up under pressure and representing AWS in rooms where the margin for error is zero.

This is not a sales role. It is a seat at the table with senior government and defense leaders who rely on your judgment to keep their operations running and evolving.

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.

Key job responsibilities

  • Lead technical engagements: Conduct deep-dive architecture reviews and operational health assessments to keep customer environments reliable and mission-ready.
  • Design secure cloud solutions: Partner with customers to architect and implement cloud-native systems that meet the security and compliance demands of classified workloads.
  • Drive proactive risk management: Identify operational gaps, surface emerging risks, and work with AWS service teams to resolve issues before they reach production.
  • Accelerate adoption of AI/ML and autonomous capabilities: Help customers integrate services like SageMaker, Bedrock, and ECS/EKS into their existing workflows turning new technology into practical deployable solutions.
  • Represent the customer inside AWS: Advocate for your customers' technical needs across AWS service teams escalation paths and product roadmap discussions.

A day in the life
Most of your week is spent face-to-face (or screen-to-screen) with customers. Mondays typically start with cadence calls: checking in on open action items reviewing operational metrics and setting priorities for the week. Midweek is where the deeper work happens - leading Well-Architected reviews walking through architecture proposals or running incident post-mortems with customer engineering teams. When something breaks you're the one coordinating across AWS service teams to drive resolution and communicating status to senior leadership in real time.

Between customer sessions you'll have focused time to research new AWS services relevant to your accounts and prepare briefing materials as well as collaborate with fellow TAMs on patterns you're seeing across the national security space. Travel is approximately 10% or more as needed.

About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

  • 5+ years of technical engineering experience
  • - Bachelor's degree in computer science, engineering, mathematics or equivalent, or 5+ years of technical work experience
  • - Familiarity with modern patterns like Retrieval-Augmented Generation (RAG), multi-agent orchestration, and prompt engineering
  • Experience in internal enterprise or external customer-facing environment as a technical lead
  • Experience with mission-critical, 24x7 operations
  • A Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field.

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, MD, Jessup - 153,600.00 - 207,800.00 USD annually

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