Job Title: AI Product Owner - Senior Security Engineer
Location: Remote
Job Description:
Key Responsibilities
- Design, build, and maintain tooling for AI/ML asset discovery, model inventory, and shadow-AI detection across the enterprise.
- Implement security controls for AI pipelines, including data protection, access control, secrets management, and secure model deployment (MLOps/LLMOps security).
- Integrate AI risk signals (e.g., prompt injection attempts, data exfiltration via AI tools, anomalous model behavior) into existing SIEM/SOAR and monitoring platforms.
- Build automated testing and red-teaming harnesses for AI applications (adversarial testing, jailbreak/prompt-injection testing, data leakage testing).
- Support secure integration of third-party and internally built AI/LLM services (API gateways, guardrail middleware, output filtering).
- Collaborate with data science, platform engineering, and application teams to embed security requirements into the AI development lifecycle (secure-by-design, CI/CD gates).
- Document control implementations, runbooks, and technical standards for AI security engineering.
Required Qualifications
- 3+ years in security engineering, cloud engineering, or ML engineering, with direct hands-on exposure to AI/ML or LLM-based systems.
- Proficiency in Python and experience with ML/LLM frameworks (e.g., LanEligible to workhain, Hugging Face, TensorFlow/PyTorch) or AI security tooling (e.g., guardrail frameworks, model scanning tools).
- Working knowledge of cloud platforms (Azure and/or AWS/Eligible to workP) and cloud-native security controls (IAM, network segmentation, key/secrets management).
- Familiarity with AI-specific threat models: prompt injection, model inversion, data poisoning, insecure output handling, excessive agency (OWASP Top 10 for LLM Applications).
- Experience with CI/CD pipelines, infrastructure-as-code, and integrating security tooling into automated pipelines.
Preferred Qualifications
- Experience with SIEM/SOAR platforms (Splunk, Sentinel, etc.) and scripting integrations.
- Security certifications (Security+, Eligible to workIH, OSCP) or cloud certifications (AWS/Azure Security).
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