Amazon
Sr Technical Account Manager, US Federal, Enterprise Support
$154K–$208K
Arlington, VA +2 · Manager · Full-time · Posted Sep 24, 2026
- Location
- Arlington, VA
Denver, CO
Herndon, VA - Experience
- 5+ years in each of the stated experience areas; preferred: 7+ years of technical engineering experience, with the specified domain breadth.
- Education
- Bachelor's degree, or CASP+ (CompTIA Advanced Security Practitioner) or CCSP (Certified Cloud Security Professional) or Cloud+ or CSSLP (Certified Secure Software Lifecycle Professional).
- Visa sponsorship
- Must be a US Citizen; must currently possess and maintain an active TS/SCI security clearance.
About the job
Serves as strategic technical advisor to U.S. Department of Defense customers, owning support strategies and guiding cloud operations, architecture, incident response, and adoption.
What you'll do
- Advise DoD customers on cloud strategy, architecture, resilience, security, and adoption roadmaps.
- Lead operational reviews and incident response, coordinating resolution across AWS teams and identifying risks.
- Advise on operating AI/ML workloads, including agent activation readiness, governance, and human oversight.
What they ask for
- 5+ years of design/implementation/operations/consulting with distributed applications experience.
- 5+ years of technical engineering experience.
- Bachelor's degree, or CASP+ (CompTIA Advanced Security Practitioner) or CCSP (Certified Cloud Security Professional) or Cloud+ or CSSLP (Certified Secure Software Lifecycle Professional).
- Current, active TS/SCI US Government Security Clearance; must be a US Citizen and maintain an active TS/SCI clearance.
Nice to have
- 7+ years of technical engineering experience in operational parameters and troubleshooting for three or more listed technical areas.
- AWS certification(s) — Solutions Architect, Generative AI Developer, DevOps Engineer, or similar.
Pay
153,600.00 - 207,800.00 USD annually (base salary)
Tools
AWS, AI/ML, compute, storage, databases, networking, security, containers
AI focus
Advises customers on AI/ML workloads, including agent activation readiness, governance, and human oversight.
Model-written summary · the original posting is authoritative