Job Requirements
Job Description
AI Security Testing Engineer
Location: Remote
Required Clearance: Public Trust
Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.
Job Description:
We are seeking an AI Security Testing Engineer who is responsible for evaluating the security, compliance, and reliability of generative-AI systems, including prompts, agents, and multi-agent workflows, by conducting structured security reviews, validating adherence to internal AI security and Responsible AI requirements, and documenting findings with clear mitigation recommendations.
Job Responsibilities:
- Assist in conducting security reviews of AI prompts, skills, agents and other related inputs, including prompt based systems, multi agent workflows, and agentic automation tools.
- Validate compliance with internal AI security, Responsible AI, and data protection requirements using established frameworks and checklists and output from AI testing tools.
- Document findings clearly, including non-compliance findings and recommended mitigations.
- Monitor updates to AI platforms, models, and frameworks to ensure test coverage remains current.
- Support continuous improvement by contributing to process and review enhancements, reusable scripts, and updated security review criteria.
Required Skills:
- Working knowledge of AI-specific attack vectors such as prompt injection, data leakage, model inversion, jailbreaking, and unsafe agentic behavior.
- Strong understanding of GenAI ecosystems, including LLMs, vector databases, prompt frameworks, agent orchestration, and multi agent workflows.
- Familiarity with AI security testing tools, red team prompt testing suites, agent behavior analyzers, and LLM evaluation frameworks.
- Ability to evaluate AI system behavior for hallucinations, unauthorized data access, harmful output, and misuse scenarios.
- Understanding of cloud security fundamentals across Azure/AWS/GCP to interpret AI system context (identity, logging, boundary protections).
- Ability to review and evaluate AI prompt configurations, system inputs, guardrails, and testing outputs for risks and misconfigurations.
- Basic scripting skills (Python, JS, or similar) to create reusable test cases, automation scripts, and AI test harnesses.
- AI Governance & Responsible AI Skills.
- Strong technical writing ability to document test results, findings, and recommended mitigations in a clear and actionable format.
- Ability to communicate AI security testing findings to engineers, product teams, and leadership.
Education Level:
Bachelor's Degree
