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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise AI Security Engineer (ISSE) - **Company:** Accenture - **Location:** Alexandria, VA, United States - **Salary:** $116,900.0 - $243,100.0 - **Contract:** Permanent contract - **Skills:** Xacta, Artificial Intelligence, Information Engineering, Identity and Access Management, Zero Trust Network Access, Okta, AI Platforms, Devsecops - **Published:** May 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6c92d2356c87e4e6 ## About the Role Do you have experience in Zero Trust security?, * Experience with implementing and maintaining runtime policy enforcement, classification-aware access control, and identity and access management (IAM) solutions that align with zero trust principles * Experience with zero trust architectures and AI governance integration * Experience with designing and implementing security controls for enterprise AI systems using the Risk Management Framework (RMF) Nice to have: * Hands-on experience with tools such as Keycloak for identity integration, XACTA and/or eMASS for RMF compliance, and Open Policy Agent for dynamic policy enforcement * Exposure to DevSecOps practices, data engineering, platform engineering, and observability solutions will further enable you to collaborate effectively with cross-functional teams and ensure that security is embedded throughout the software delivery lifecycle Eligibility requirements: * US Citizen * Must have an active TS/SCI Clearance ## Description As an Enterprise AI Security Engineer (ISSE), you will play a pivotal role in advancing operational AI adoption by supporting a modern Hub-and-Spoke architecture designed for mission-critical applications, * Your responsibilities will include integrating AI governance, agentic AI systems, and scalable software delivery into enterprise environments, while ensuring robust cybersecurity and continuous monitoring * Develop and enforce zero trust architectures and classification-aware access control for mission-critical applications * Integrate identity and access management solutions, including Keycloak, to support secure AI adoption * Support Assessment & Authorization (A&A) and RMF Authority to Operate (ATO) processes for AI platforms * Implement and manage runtime policy enforcement using Open Policy Agent and related tools Integrate AI governance frameworks into enterprise security and compliance workflows * Utilize XACTA and/or eMASS for continuous monitoring and reporting of security posture Collaborate with DevSecOps, data engineering, and platform engineering teams to ensure secure and scalable software delivery * Support the integration of cybersecurity and observability into agentic AI systems and operational workflows * Provide subject matter expertise on zero trust implementation and identity integration for enterprise AI environments * Your work will directly support Assessment & Authorization (A&A), Risk Management Framework (RMF) Authorization to Operate (ATO), and the seamless integration of security controls into operational workflows * Your ability to navigate and integrate these diverse technologies and frameworks will be key to supporting mission-focused operational workflows and maintaining enterprise-wide security posture ## Related Videos - [The New AI Security Stack: Observe, Detect, Protect](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Automated Security for the Entire SDLC](https://www.wearedevelopers.com/videos/100323-automated-security-for-the-entire-sdlc) - [DevSecOps: Security in DevOps](https://www.wearedevelopers.com/videos/36-devsecops-security-in-devops) - [DevSecOps culture](https://www.wearedevelopers.com/videos/783-devsecops-culture) - [Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing](https://www.wearedevelopers.com/videos/100108-building-sovereign-ai-lessons-from-deploying-secure-rag-systems-using-confidential-computing) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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