AI Security Tester - Red Team Job at The Cervantes Group in Dallas

Overview

Client Delivery Advisor | IT & Corporate Recruitment

Role Description: The AI Tester will be joining the InfoSec Cyber team and will be responsible for conducting Adversarial Testing, enhancing Threat Monitoring & Intelligence, all contributing to continuous improvement and innovation within our banking client’s Cyber red team. This person will be participating in the hands-on testing of GenAI systems with ML/GenAI fundamentals (LLMs, embeddings, diffusion models) and adversarial ML techniques (model extraction, poisoning, prompt injection). The ideal person will have experience enhancing AI model monitoring, testing, and threat detection.

Responsibilities

• Design and execute controlled adversarial attacks (prompt injection, input/output evaluation, data exfiltration, misinformation generation)
• Evaluate GenAI models against known and emerging AI-specific attack vectors.
• Develop reusable test repositories, scripts, and automation to continuously challenge models.
• Partner with developers to recommend remediation strategies for discovered vulnerabilities.
• Continuously monitor the external threat landscape for new GenAI-related attack methods (e.g., malicious prompt engineering, fine-tuned model abuse).
• Correlate findings with internal AI deployments to identify potential exposure points.
• Build relationships with threat intelligence providers, industry groups, and government regulators to stay ahead of adversarial AI trends.
• Partner with Cybersecurity, SOC, and DevSecOps teams to integrate adversarial testing into the broader enterprise security framework.
• Collaborate with AI/ML engineering teams to embed adversarial resilience into the development lifecycle ("shift-left" AI security).
• Provide training and awareness sessions for business units leveraging GenAI.
• Develop custom adversarial testing frameworks tailored to the organization’s specific use cases.
• Evaluate and recommend security tools and platforms for AI model monitoring, testing, and threat detection.
• Contribute to enterprise AI security strategy by bringing forward new practices, frameworks, etc.

Qualifications

Required Qualifications & Experience

• Bachelor’s Degree is required
• 4+ years’ experience with hands-on adversarial testing of GenAI systems (prompt injection/jailbreaks, input–output evals, data-exfil testing) with actionable remediation
• Cybersecurity red-team / penetration testing background and strong Python/scripting for automation and test harnesses
• ML/GenAI fundamentals (LLMs, embeddings, diffusion models) and adversarial ML techniques (model extraction, poisoning, prompt injection).
• Familiarity with AI security frameworks: NIST AI RMF or MITRE ATLAS or OWASP Top 10 for LLMs
• Experience with AI/MLOps platforms & integration frameworks (Azure AI or AWS SageMaker; OpenAI API/Hugging Face; LangChain or equivalent) in an enterprise setting

Desired Qualifications & Experience

• Exposure to governance/risk for AI (model risk, policy alignment)
• SIEM/SOAR & threat-intel integration and monitoring
• Experience with building reusable adversarial test repos, scripts, and automation

Employment details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology

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Notes

We’re not including location-based alerts and ancillary postings in this refined description. Base pay range and other non-core lines have been retained only as part of the role’s detail where appropriate.