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Security Engineer, Forward Deployed Engineering, AWS Forward Deployed Engineering
Amazon
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Source date: 10/15/2026
About this role
Description AWS Forward Deployed Engineering (FDE) embeds AI engineers directly inside strategic enterprise customers to design, build, and deploy production-grade AI systems. We are looking for a Security Engineer to join the FDE security team and help secure production AI systems deployed in customer environments. You will conduct security reviews, write security tooling, perform threat modeling, and implement controls that protect AI systems built by FDE engineers. You work alongside FDE delivery pods in customer environments, getting hands-on with production code, cloud infrastructure, and AI/ML pipelines. You learn fast, ship fast, and build security into the system rather than bolting it on after the fact. This is a hands-on security engineering role where you spend most of your time writing code, reviewing architectures, and testing systems. You work with senior security engineers who will mentor you, but you own real security deliverables from your first engagement. If you want to learn AI security by doing it, in production, at enterprise scale, this is the role. Key job 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 A day in the life You start the morning running your automated security scan against a new Bedrock-powered application an FDE pod shipped overnight, triaging the findings and filing issues for two real vulnerabilities. Mid-morning you pair with an FDE engineer to fix an IAM policy that's overly permissive for their multi-agent orchestration system. After lunch you're writing a Python script that automates guardrail bypass testing for the team's standard deployment pattern. You close out the day joining a threat modeling session led by a senior security engineer, where you learn how to assess data flow risks in a customer's RAG pipeline. Every week you're working on a different AI architecture, building skills you can't get anywhere else. About the team AWS Forward Deployed Engineering embeds AI engineers directly inside strategic enterprise customers to build production AI systems. AWS invested $1B in this initiative. We move at the speed of the customer: demonstrating ROI in weeks, not quarters. We are customer-obsessed. We lead customers toward outcomes, build together, and leave behind scalable patterns. Security is our enabling function: without it, nothing goes to production. Our culture is people-first, anti-burnout, bold, and engineering-excellence-driven. ABOUT AWS: Diverse Experiences 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. Why AWS 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. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth 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. 10047 Basic Qualifications - Bachelor's degree in computer science or equivalent - 2+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience - 2+ years of troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship) experience - 2+ years of (non-internship) scripting, programming, and security code review in common programming languages experience - 2+ years of work in identifying security issues and risks, and developing mitigation plans experience - 2+ years hands on building AI/agentic systems Preferred Qualifications - Experience with security in service-oriented architectures/microservices and web services - Experience with compliance & security standards including PCI DSS, ISO 27001, HIPAA, and NIST - Experience with AWS products and services - Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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. 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