Cybersecurity AI Risk and Governance Engineer, Global

Vantage Data Centers powers and protects the technology of leading hyperscalers and cloud providers. The AI Cybersecurity Engineer is responsible for the technical security, risk management, and governance enforcement of AI and ML systems within the company, ensuring that these technologies deliver business value while mitigating various risks.

Responsibilities:

• Perform technical security testing and reviews of AI‑enabled applications, agents, and workflows, including architecture, design, and implementation, under established governance and Director direction
• Implement approved security architecture patterns for AI, ML, and LLM systems across cloud, hybrid, on‑prem, and OT‑adjacent environments
• Engineer secure inference paths, APIs, service identities, authentication flows, and segmentation boundaries aligned with least privilege and zero trust principles
• Implement technical safeguards to mitigate prompt injection, unauthorized context expansion, data leakage, hallucination risk, and unsafe output handling
• Configure and maintain controls for limiting, monitoring, logging, and managing AI usage across platforms, models, and agents
• Implement and validate technical controls supporting model explainability, traceability, and output validation where AI impacts operational, workforce, safety, or compliance decisions
• Review and validate LLM usage patterns, including prompt design, retrieval‑augmented generation (RAG), context window constraints, and output handling mechanisms
• Implement controls preventing unauthorized external model training, reuse, or retention of enterprise data by third‑party AI platforms
• Validate encryption, access logging, retention, and deletion controls for data ingested, processed, or generated by AI systems
• Execute AI‑specific threat modeling activities and contribute findings to enterprise and OT cybersecurity risk assessments
• Ensure AI systems produce security telemetry, logs, and audit trails sufficient to detect misuse, drift, policy violations, or anomalous behavior
• Integrate AI security signals into SOC, SIEM, and incident response tooling and workflows
• Support investigation and response to AI‑related incidents, including data exposure, model failure, unsafe outputs, or control breakdowns
• Conduct technical security reviews of vendor‑provided and embedded AI capabilities, assessing model behavior, data handling, and control alignment
• Enforce approved security requirements for AI vendors and prevent activation of AI features without required security validation and governance approval
• Drive alignment with ISO 42001 and related AI governance standards across applicable teams

Requirements:

• Bachelor's degree in Cybersecurity, Computer Science, Data Science, Engineering, or related field, or equivalent experience
• Minimum 5+ years of experience in cybersecurity, security architecture, or risk engineering roles
• Hands‑on experience securing data pipelines, APIs, cloud platforms, and analytics or ML‑enabled systems
• Strong understanding of identity, access management, encryption, logging, and secure system design
• Direct experience securing AI/ML platforms, LLMs, or analytics pipelines
• Experience with cloud security (Azure, AWS, GCP) and SaaS‑based AI platforms
• Familiarity with OT, critical infrastructure, or safety‑critical environments
• Security certifications such as Security+, SecurityAU+, CISM, or cloud security certifications