Cybersecurity Engineer – AI Risk and Governance

This is a fully remote position, open to applicants in Florida.

📋 Description

• Conduct technical security assessments and evaluations of AI-driven applications, agents, and workflows.

• Apply sanctioned security architecture frameworks for AI, ML, and LLM systems across cloud, hybrid, on-premises, and OT-adjacent environments.

• Design secure inference pathways, APIs, service identities, authentication processes, and segmentation boundaries in accordance with least privilege and zero trust principles.

• Establish technical safeguards to address prompt injection, unauthorized context expansion, data leakage, hallucination risks, and improper output management.

• Set up and sustain controls for regulating, monitoring, logging, and overseeing AI utilization across various platforms, models, and agents.

• Implement and verify technical controls that enhance model explainability, traceability, and output validation when AI influences operational, workforce, safety, or compliance decisions.

• Evaluate and confirm LLM usage patterns, including prompt development, retrieval-augmented generation (RAG), context window limitations, and output management techniques.

• Establish controls to prohibit unauthorized external model training, reusing, or retaining enterprise data by third-party AI platforms.

• Validate encryption, access logging, retention, and data deletion controls for information ingested, processed, or produced by AI systems.

• Carry out AI-specific threat modeling tasks and share findings with enterprise and OT cybersecurity risk assessments.

• Ensure AI systems generate security telemetry, logs, and audit trails that are adequate for detecting misuse, drift, policy infringements, or unusual activities.

• Integrate AI security signals into SOC, SIEM, and incident response tools and workflows.

• Assist in the investigation and resolution of AI-related incidents, including data breaches, model failures, unsafe outputs, or breakdowns in controls.

• Perform technical security assessments of vendor-supplied and integrated AI functionalities, evaluating model behavior, data management, and control compliance.

• Enforce established security requirements for AI vendors and prevent the activation of AI features without necessary security validation and governance approval.

• Promote alignment with ISO 42001 and related AI governance standards across relevant teams.

⛳️ Requirements

• Bachelor's degree in Cybersecurity, Computer Science, Data Science, Engineering, or a related discipline, or equivalent experience.

• A minimum of 5+ years of experience in cybersecurity, security architecture, or risk engineering positions.

• Practical experience in securing data pipelines, APIs, cloud platforms, and analytics or ML-enabled systems.

• Strong knowledge of identity, access management, encryption, logging, and secure system design principles.

• Direct experience in securing AI/ML platforms, LLMs, or analytics pipelines is preferred.

• Familiarity with cloud security (Azure, AWS, GCP) and SaaS-based AI platforms is preferred.

• Awareness of OT, critical infrastructure, or safety-critical environments is preferred.

• Relevant security certifications such as Security+, SecurityAU+, CISM, or cloud security certifications are 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 plan that includes a company match.

• Additional voluntary benefits.