AI Security Specialist
Job Description
<div class="content-intro"><div> <div> </div> <div>At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. </div> <div> </div> <div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. </div> <div> </div> <div>Join us to drive positive, lasting change that moves missions and the government forward!</div> <div> </div> </div></div><p>The AI Security Specialist will work within the Cyber Risk team in the Inormation Security organization. </p> <p><strong>The Work</strong></p> <ul> <li>Support the team by performing basic security reviews of AI prompts, skills, agents, and other related inputs. This includes helping review prompt-based systems, simple agent workflows, and early-stage automation tools.</li> <li>Assist in checking compliance with internal AI security, Responsible AI, and data protection requirements by using established frameworks, checklists, and outputs from AI testing tools.</li> <li>Document review results clearly, noting areas of concern and drafting initial mitigation suggestions for review by senior team members.</li> <li>Contribute to continuous improvement by updating team documentation, improving reusable scripts under guidance, and assisting in refining security review criteria.</li> </ul> <p><strong>What you need</strong></p> <ul> <li>US Citizen</li> <li>Bachelor’s Degree in Information Technology, Information Security, Business or Risk Management (or equivalent experience)</li> <li>3+ year of Risk Management, Security Assessment, or a related field.</li> <li>Basic understanding of GenAI ecosystems, including LLMs, vector databases, prompt frameworks, and simple agent workflows.</li> <li>Awareness of common AI-specific attack vectors such as prompt injection, data leakage, model inversion, and unsafe agent actions.</li> <li>Familiarity with fundamental AI security testing tools and evaluation frameworks, with willingness to learn more advanced tools over time.</li> <li>Ability to identify basic AI system issues such as hallucinations, unauthorized access attempts, or harmful outputs.</li> <li>Understanding of core cloud security concepts across Azure/AWS/GCP, focused on identity, logging, and boundary protections.</li> <li>Ability to review AI prompt inputs, configuration settings, guardrails, and simple testing outputs with guidance from senior staff.</li> <li>Basic scripting ability (Python, JS, or similar) to help build or update small test cases and simple automation scripts.</li> <li>Ability to apply AI security and Responsible AI requirements using checklists, templates, and system documentation provided by senior team members.</li> <li>Solid communication and writing skills to help document and share test results, findings, and recommended mitigations in a clear and structured format.</li> <li>Ability to communicate observed issues to engineers and product teams under the guidance of senior reviewers.</li> <li>Ability to explain basic AI security concerns in plain language.</li> <li>A