Production AI Security Engineer

Amazon Web Services, Inc.; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

AWS Forward Deployed Engineering (FDE) seeks a Security Engineer to embed within enterprise customers, securing production AI systems from design through deployment. You’ll review architectures, build tooling, and implement guardrails for AI/ML pipelines in customer environments.

You will work hands-on with production code, cloud infrastructure, and AI/ML workflows, collaborating with senior security engineers while owning real security deliverables early in engagements.

Responsibilities

• Conduct security design reviews, code reviews, and architecture assessments for production AI systems (agentic workflows, RAG pipelines, orchestration layers, model integrations) under guidance from senior security engineers
• Perform threat modeling and penetration testing for AI/ML applications deployed in customer environments; identify vulnerabilities and work with FDE engineers to implement fixes before production release
• Build and maintain security automation: scanning tools, CI/CD security gates, guardrail testing scripts, secrets detection, and dependency vulnerability checks for forward-deployed AI systems
• Implement security controls for AI-specific threats: prompt injection prevention, output filtering, data isolation, model API endpoint hardening, and guardrail configuration
• Support security incident response for FDE-delivered production AI systems; assist with triage, root cause analysis, and remediation under senior engineer guidance
• Document security findings, patterns, and remediation guidance as reusable playbooks and runbooks that benefit future FDE engagements
• Contribute to the FDE security accelerator library: reusable modules, templates, and reference configurations that help FDE engineers build secure AI systems faster
• Requires up to 25% travel

Job description

AWS Forward Deployed Engineering (FDE) seeks a Security Engineer to embed within enterprise customers, securing production AI systems from design through deployment. You’ll review architectures, build tooling, and implement guardrails for AI/ML pipelines in customer environments.

You will work hands-on with production code, cloud infrastructure, and AI/ML workflows, collaborating with senior security engineers while owning real security deliverables early in engagements.