Cybersecurity Engineer – AI Risk and Governance

🕒 June 30

🐊 Florida – Remote

info

💵 $115k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

info
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Vantage Data Centers

Vantage Data Centers

1001 - 5000 employees

Founded 2010

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Vantage Data Centers is a company specializing in the design, development, and operation of highly flexible and scalable data centers. These data centers cater to hyperscalers, cloud providers, and large enterprises, offering state-of-the-art facilities across 5 continents and 21 markets. Vantage focuses on providing large-scale campuses that enable customers to grow steadily, with over 23 million square feet dedicated to data center space and 2. 6GW+ of power capacity. Committed to sustainability and efficiency, Vantage ensures 100% uptime with standardized designs offering predictability and performance. The company is backed by prominent investors such as DigitalBridge Group and Silver Lake, maintaining a strong financial standing and excellent customer satisfaction rates.

📋 Description

• 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

🎯 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

Apply Now

Similar Jobs

🕒 June 30

Aimpoint Digital

51 - 200

🤖 Artificial Intelligence

💼 Consulting

Senior AI Engineer delivering production-ready enterprise AI solutions. Collaborating with clients to design, build, deploy, and scale AI systems.

🕒 June 30

Crogl, Inc.

11 - 50

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

AI Engineer developing LLM-powered features and workflows for security automation at Crogl. Collaborating with teams to build and evaluate AI systems for security investigations.

🕒 June 30

Echelon Services, LLC

201 - 500

💼 Consulting

🎖️ Defense

📦 Logistics

AI Engineer at Echelon Services developing scalable applications using Go and Python. Collaborating across teams to build AI-driven solutions and optimize performance.

🕒 June 30

Pax8

1001 - 5000

🏪 Marketplace

🤝 B2B

☁️ SaaS

Cloud & AI Platform Program Manager leading Azure programs across the Americas. Driving partner growth and influencing go-to-market execution within Pax8.

🕒 June 29

Astound Digital

1001 - 5000

💼 Consulting

📦 Logistics

📣 Marketing

Senior Consultant specializing in Anthropic AI at Astound Digital. Driving solutions with cloud architecture and generative AI.