Experience | Scalability | Efficiency By Design
Cybersecurity Engineer – AI Risk and Governance
Location
Florida
Posted
23 hours ago
Salary
$115K - $120K / year
Seniority
Senior
Job Description
Cybersecurity Engineer – AI Risk and Governance
Vantage Data Centers
• Perform technical security testing and reviews of AI‑enabled applications, agents, and workflows • 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
Job 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 (preferred)
- Experience with cloud security (Azure, AWS, GCP) and SaaS‑based AI platforms (preferred)
- Familiarity with OT, critical infrastructure, or safety‑critical environments (preferred)
- Security certifications such as Security+, SecurityAU+, CISM, or cloud security certifications (preferred)
Benefits
- medical, dental, and vision coverage
- life and AD&D insurance
- short and long-term disability coverage
- paid time off
- employee assistance program
- participation in a 401k program that includes company match
- additional voluntary benefits
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• Du arbeitest eng mit erfahrenen Cybersecurity Engineers zusammen und wirst aktiv in Kundenprojekte eingebunden. • Du bist Ansprechpartner des Kunden bei Rückfragen zu Sicherheitsvorfällen. • Du analysierst im Team strukturelle Schwächen des Kunden. • Du gibst einfache Best Practices weiter, auch an nicht-technische Ansprechpartner. • Du analysierst Logs und sicherheitsrelevante Datenquellen zur Erkennung möglicher Risiken. • Gemeinsam mit deinem Mentor arbeitest du kontinuierlich an deinen technischen und beratenden Fähigkeiten.
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