Cybersecurity AI Risk and Governance Engineer

Vantage Data Centers

AI Cybersecurity Engineer responsible for technical security of AI systems at Vantage Data Centers. Ensuring AI technologies deliver business value with security and governance compliance.

Posted 5/1/2026full-timeRemote • Colorado • 🇺🇸 United StatesMid-LevelSenior💰 $115,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud Platform

About the role

Key responsibilities & impact

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
Review and validate LLM usage patterns
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
Conduct technical security reviews of vendor‑provided and embedded AI capabilities
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

Requirements

What you’ll need

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

Comp & perks

Medical, dental, and vision coverage
Life and AD&D insurance
Short and long-term disability coverage
Paid time off
Employee assistance program
401(k) program with company match
Additional voluntary benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

technical security testingsecurity architectureAI securityML securityLLM securitydata pipeline securityAPI securityencryptionidentity access managementsecure system design

Soft Skills

investigationincident responsecollaborationcommunicationrisk assessment

Certifications

Security+SecurityAU+CISMcloud security certifications