> Markdown version of [/jobs/ext/3875484-senior-security-engineer-forward-deployed-engineering-aws-forw](https://www.wearedevelopers.com/jobs/ext/3875484-senior-security-engineer-forward-deployed-engineering-aws-forw). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Security Engineer, Forward Deployed Engineering, AWS Forw - **Company:** Amazon.com, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $183,000.0 - $247,600.0 - **Contract:** Internship / Graduate position - **Skills:** Training Data, Kubernetes Security, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Software System Penetration Testing, C++ (Programming Language), Code Review, Computer Programming, Continuous Integration, Python (Programming Language), Key Management, PCI Data Security Standards, Scala (Programming Language), Service-Oriented Architecture, Web Services, Scripting, Retrieval-Augmented Generation, Multi-Agent Systems, Deployment Automation, Terraform, Programming Languages, Microservices - **Published:** October 22, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9252797/senior-security-engineer-forward-deployed-engineering-aws-forw ## About the Role 5+ years of any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing experience - 5+ years of work in identifying security issues and risks, and developing mitigation plans experience - 4+ years of (non-internship) scripting, programming, and security code review in common programming languages experience - Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go - Experience with threat modeling and penetration testing, or experience that includes strong analytical skills, attention to detail, and effective communication abilities, Experience with security in service-oriented architectures/microservices and web services - US government security clearance of top secret or above, or 7+ years of IT platform implementation in a technical and analytical role experience - Experience with compliance & security standards including PCI DSS, ISO 27001, HIPAA, and NIST - Experience with AWS technologies ## Description Conduct security design reviews, threat modeling, and architecture assessments for production AI systems (agentic workflows, RAG pipelines, orchestration layers, model integrations, customer data pipelines) - Embed with FDE delivery teams in customer environments; assess infrastructure security posture, identify gaps, implement controls while maintaining delivery velocity - Build security automation and tooling: scanning, testing, monitoring capabilities purpose-built for forward-deployed AI systems; create reusable security accelerators - Implement controls for AI-specific threats: prompt injection, guardrail bypass, model endpoint hardening, training data protection, output filtering, data isolation - Integrate security into FDE engineering workflows: CI/CD security gates, secrets management, dependency scanning, container security - Triage and respond to security incidents in production AI systems; build monitoring and alerting for AI-specific security signals - Document solutions as reusable patterns, playbooks, and architectural guidance - Requires up to 25% travel 10047 A day in the life You start the day reviewing a pull request from an FDE engineer building a multi-agent orchestration system for a healthcare customer, catching an authorization gap before it ships. Mid-morning you're on-site with the customer's security team walking through your threat model for their RAG pipeline. After lunch you're writing a reusable Terraform module that enforces data isolation for multi-tenant AI deployments. You close out the day running automated guardrail tests against a Bedrock-powered application before it goes live. Every week brings a different customer, a different architecture, and a new AI security challenge. 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.