Drimva

Amazon

Senior Security Engineer, Forward Deployed Engineering, AWS Forward Deployed Engineering

$175K–$248K

Boston, MA +5 · Senior · Full-time · Posted Sep 17, 2026

Location
Boston, MA
Seattle, WA
Arlington, VA
New York, NY
Mountain View, CA
Dallas, TX
Experience
5+ years in specified security areas and 5+ years identifying risks and developing mitigations; 4+ years non-internship programming and security code review.
Visa sponsorship
The selected candidate must be a US Citizen.

About the job

Secures production AI systems deployed in customer environments by embedding with AWS Forward Deployed Engineering teams and building security controls and reusable tooling.

What you'll do

  • Review AI system designs, model threats, and implement security controls in customer environments.
  • Build reusable security automation and integrate security into engineering workflows.
  • Respond to production security incidents and document reusable patterns and guidance.

What they ask for

  • 5+ years in a combination of application security, identity and access controls, incident response, mobile security, cloud security, AI security, threat intelligence, or penetration testing.
  • 5+ years identifying security issues and risks and developing mitigation plans.
  • 4+ years of non-internship scripting, programming, and security code review experience.
  • Knowledge of at least two of Scala, Java, Python, C/C++, or Go; threat modeling and penetration testing experience, or equivalent stated analytical, detail, and communication strengths.

Nice to have

  • Experience with security in service-oriented architectures/microservices and web services.
  • Experience with PCI DSS, ISO 27001, HIPAA, NIST, AWS technologies, or a US government security clearance of top secret or above; alternatively, 7+ years of IT platform implementation in a technical and analytical role.

Pay

USD 183,000.00 - 247,600.00 annually (base salary); USD 178,400.00 - 226,700.00 annually (base salary); USD 175,100.00 - 236,900.00 annually (base salary)

Tools

Scala, Java, Python, C/C++, Go, Terraform, Bedrock, AWS

AI focus

Secures AI/ML pipelines and production AI systems, addressing threats such as prompt injection, guardrail bypass, model endpoint risks, training data protection, output filtering, and data isolation.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)