Drimva

Amazon

Security Engineer, Forward Deployed Engineering, AWS Forward Deployed Engineering

$159K–$202K

Dallas, TX · Full-time · Posted Sep 17, 2026

Experience
2+ years for each experience requirement; the first requirement allows any combination of its listed experience areas.
Education
Bachelor's degree in computer science or equivalent.
Visa sponsorship
The candidate selected must be a US Citizen.

About the job

Secures production AI systems deployed in customer environments through security reviews, threat modeling, testing, automation, and implementation of AI-specific controls.

What you'll do

  • Review AI system designs, code, and architectures; conduct threat modeling and penetration testing, and help remediate vulnerabilities.
  • Build security automation and implement controls for AI-specific threats, including prompt injection, data isolation, and model endpoint hardening.
  • Support incident response and document reusable security guidance, modules, and configurations.

What they ask for

  • 2+ years in a combination of threat modeling, secure coding, identity management and authentication, software development, cryptography, system administration, or network security.
  • 2+ years of non-internship experience troubleshooting systems, analyzing logs, or automating tasks using command line tools.
  • Bachelor's degree in computer science or equivalent.
  • 2+ years of non-internship scripting, programming, and security code review; 2+ years identifying security risks and developing mitigations; and 2+ years hands-on building AI/agentic systems.

Nice to have

  • Experience with security in service-oriented architectures/microservices and web services; AWS technologies.
  • US government security clearance of top secret or above; compliance/security standards including PCI DSS, ISO 27001, HIPAA, and NIST; knowledge of at least two listed programming languages.

Pay

159,300.00 - 202,400.00 USD annually (base salary)

Tools

AWS, Python, Scala, Java, C/C++, Go, PCI DSS, NIST

AI focus

Secures production AI/ML and agentic systems, including RAG pipelines, orchestration, model integrations, prompt injection defenses, output filtering, data isolation, and guardrails.

Model-written summary · the original posting is authoritative

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