AI Security Specialist

🕒 August 14

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $82.9k - $184.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Accenture Federal Services

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2017

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Accenture Federal Services is a division of Accenture that focuses on delivering technology and consulting services to the U. S. federal government. With capabilities in cloud, cybersecurity, data and artificial intelligence, digital engineering, and emerging technologies, Accenture Federal Services supports federal agencies in achieving mission-critical outcomes through innovation and technological advancement. The company emphasizes building secure, scalable solutions, enhancing decision-making with data-driven insights, and transforming digital infrastructures to meet complex governmental needs. By leveraging advanced R&D and human-centered design, they aim to improve the performance and resilience of government operations.

📋 Description

• Perform basic security reviews of AI prompts, skills, agents, and related inputs • Review prompt-based systems, simple agent workflows, and early-stage automation tools • Check compliance with internal AI security, Responsible AI, and data protection requirements • Use established frameworks, checklists, and outputs from AI testing tools • Document review results, areas of concern, and initial mitigation suggestions • Update team documentation • Improve reusable scripts under guidance • Assist in refining security review criteria

🎯 Requirements

• Basic understanding of GenAI ecosystems, including LLMs, vector databases, prompt frameworks, and simple agent workflows • Awareness of AI-specific attack vectors, including prompt injection, data leakage, model inversion, and unsafe agent actions • Familiarity with AI security testing tools and evaluation frameworks • Ability to identify hallucinations, unauthorized access attempts, and harmful outputs • Understanding of cloud security concepts across Azure, AWS, and GCP, focused on identity, logging, and boundary protections • Ability to review AI prompt inputs, configuration settings, guardrails, and testing outputs with guidance • Basic scripting ability in Python, JavaScript, or similar • Ability to apply AI security and Responsible AI requirements using checklists, templates, and documentation • Solid communication and writing skills for documenting test results, findings, and mitigations • Ability to communicate issues to engineers and product teams under senior guidance • Ability to explain basic AI security concerns in plain language • Ability to work independently and as part of a high-performing team • Ability to stay current with changes in AI models, platforms, and emerging threats • Experience contributing to AI security patterns, guidance, and internal testing frameworks • Applicants for employment in the US must have work authorization that does not now or in the future require visa sponsorship

🏖️ Benefits

• Collaborative and caring community • Hands-on experience • Certifications • Industry training • Wide variety of benefits • Reasonable accommodations for disabilities or religious observances • Equal employment opportunities • Veteran employment opportunities