Enterprise AI Security Engineer (ISSE)

Accenture Federal Services•Arlington, VA

3d•$116,900 - $243,100

About The Position

At Accenture Federal Services, our mission is to help the US federal government make the nation stronger and safer, and improve the lives of its citizens. We are a technology company within the global Accenture network, comprising over 13,000 individuals dedicated to leveraging technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. We offer a collaborative and supportive community where employees are empowered to grow and thrive through hands-on experience, certifications, and industry training. Join us to drive positive, lasting change that advances missions and the government forward. As an Enterprise AI Security Engineer (ISSE), you will be instrumental in supporting the adoption of operational AI by contributing to a modern Hub-and-Spoke architecture designed for mission-critical applications. 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 diverse technologies and frameworks will be crucial for supporting mission-focused operational workflows and maintaining enterprise-wide security posture.

Requirements

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).
US Citizen
Must have an active TS/SCI Clearance

Nice To Haves

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.

Responsibilities

Integrating AI governance, agentic AI systems, and scalable software delivery into enterprise environments, while ensuring robust cybersecurity and continuous monitoring.
Developing and enforcing zero trust architectures and classification-aware access control for mission-critical applications.
Integrating identity and access management solutions, including Keycloak, to support secure AI adoption.
Supporting Assessment & Authorization (A&A) and RMF Authority to Operate (ATO) processes for AI platforms.
Implementing and managing runtime policy enforcement using Open Policy Agent and related tools.
Integrating AI governance frameworks into enterprise security and compliance workflows.
Utilizing XACTA and/or eMASS for continuous monitoring and reporting of security posture.
Collaborating with DevSecOps, data engineering, and platform engineering teams to ensure secure and scalable software delivery.
Supporting the integration of cybersecurity and observability into agentic AI systems and operational workflows.
Providing subject matter expertise on zero trust implementation and identity integration for enterprise AI environments.