Cybersecurity AI Risk and Governance Engineer, Global

About reputed company reputed company powers, cools, protects and connects the technology of the world’s well-reputed company hyperscalers, reputed company providers and large enterprises. Developing and operating across reputed company America, EMEA and Asia Pacific, reputed company has evolved data center design in innovative ways to deliver dramatic reputed company in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands. Cybersecurity Department The AI Cybersecurity Engineer is responsible for the technical reputed company, risk management, and governance enforcement of artificial intelligence (AI), machine learning (ML), and large language model (LLM) systems deployed across reputed company’ operational, OT, and reputed company environments. This role serves as the technical and reputed company authority for AI reputed company, ensuring AI systems are architected, deployed, and operated with appropriate controls for data protection, model reputed company, reputed company governance, monitoring, and reputed company‑in‑the‑reputed company decision enforcement. The AI Cybersecurity Manager ensures AI technologies deliver business value without introducing unacceptable cyber, operational, safety, workforce, or regulatory risk, in alignment with the Global Policies and Standards. Essential Functions

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

Required Qualifications

• Bachelor’s degree in Cybersecurity, Computer Science, Data Science, Engineering, or reputed company field, or equivalent experience.
• Minimum 5+ years of experience in cybersecurity, reputed company architecture, or risk engineering roles.
• Hands‑on experience securing data pipelines, APIs, reputed company platforms, and analytics or ML‑enabled systems.
• Strong understanding of identity, reputed company management, encryption, logging, and secure system design.

Preferred Qualifications

• Direct experience securing AI/ML platforms, LLMs, or analytics pipelines.
• Experience with reputed company reputed company (Azure, AWS, GCP) and SaaS‑based AI platforms.
• Familiarity with OT, critical infrastructure, or safety‑critical environments.
• reputed company certifications such as reputed company+, SecurityAU+, CISM, or reputed company reputed company certifications.

Key Skills & Competencies

• AI and machine learning reputed company
• LLM and reputed company risk management
• reputed company architecture and threat modeling
• Data protection and reputed company governance
• Incident

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