Enterprise AI Security Engineer (ISSE)

Accenture Federal Services • Arlington, VA

2d

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 global Accenture, with over 13,000 employees dedicated to leveraging technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. We foster a collaborative and supportive community where employees are empowered to grow through hands-on experience, certifications, and industry training. Join us to drive positive, lasting change and advance government missions. As an Enterprise AI Security Engineer (ISSE), you will be instrumental in supporting the adoption of operational AI through a modern Hub-and-Spoke architecture designed for mission-critical applications. Your role will involve integrating AI governance, agentic AI systems, and scalable software delivery into enterprise environments, with a strong emphasis on robust cybersecurity and continuous monitoring.

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.
• Directly supporting Assessment & Authorization (A&A), Risk Management Framework (RMF) Authorization to Operate (ATO), and the seamless integration of security controls into operational workflows.

Benefits

• Hands-on experience
• Certifications
• Industry training
• Reasonable ranges of compensation for hired roles based on labor costs in specific states and cities.
• Wide variety of benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed