AI Cybersecurity Director
- Market p25–p75
- $128k–$195k
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +266% of open
- All security
- 8,272open
EVOCS OVERVIEW
EVOCS was founded with a clear purpose: to help businesses operate more effectively, solve complex challenges, and create opportunities for growth through practical expertise and technology solutions.
As an IT consulting firm, we work with our clients to understand their needs, identify the right technologies, and deliver solutions that improve performance and support their business objectives.
Today, EVOCS is a trusted technology partner to a growing number of organizations and industry leaders. Our team combines technical expertise, business understanding, and a commitment to quality to deliver effective solutions and build lasting client relationships based on responsiveness, consistency, and results.
AI Cybersecurity Director
Cybersecurity Department | Hybrid: Denver, CO or Ashburn, VA (3 days onsite, 2 days flexible per week)
EVOCS Overview
EVOCS's journey began with a mission to empower businesses with advisory expertise, empowered with ideal technologies to provide them with comprehensive solutions to grow and prosper.
Founded by a team of passionate experts, EVOCS has grown into a trusted partner to a growing number of leaders across their respective industries. Our roots in employee-managed operations reflect our commitment to quality, consistency, and client success.
If you enjoy working in a hyper-fast-growing company, are eager to be part of an agile team, and want to be part of our success story, then let's talk!
🎯 Role Overview
As the AI Cybersecurity Director, you will serve as the technical and security authority for artificial intelligence (AI), machine learning (ML), and large language model (LLM) systems deployed across a global data center and critical infrastructure operator's operational, OT, and enterprise environments.
You will be responsible for ensuring AI systems are architected, deployed, and operated with appropriate controls for data protection, model integrity, access governance, monitoring, and human-in-the-loop decision enforcement -- so AI delivers business value without introducing unacceptable cyber, operational, safety, workforce, or regulatory risk.
🧩 What You Will Do
Essential Functions
- Establish enterprise governance for detection, classification, and management of unauthorized (shadow) AI across business units, in coordination with centralized AI functions
- Define and enforce security architecture standards for AI, ML, and LLM platforms across cloud, hybrid, on-prem, and OT-adjacent environments
- Provide security design oversight and approval for AI systems, including data pipelines, model hosting, inference paths, APIs, and integrations
- Define enterprise methodology for AI security assessment covering architecture, design, and implementation across applications, agents, and workflows
- Ensure AI architectures enforce segmentation, least privilege, deterministic behavior, and fail-safe operation, particularly where OT or critical infrastructure data is involved
- Establish AI-specific incident response playbooks and lead response to AI-related security, safety, or governance incidents
- Enforce controls preventing unauthorized model retraining, autonomous learning, or use of live production or OT data outside approved intent
- Define security requirements for explainability, traceability, and output validation where AI influences operational, workforce, safety, or compliance outcomes
- Drive alignment with ISO 42001 and related AI governance standards across applicable teams
AI Data Protection and Trust Boundaries
- Enforce protections against prompt injection, data leakage, hallucination risk, unauthorized context expansion, and external model training exposure
- Ensure sensitive enterprise, operational, personnel, and contractual data is not exposed to or retained by external AI platforms without approved safeguards
- Approve and oversee AI data ingestion pipelines, enforcing purpose limitation, data minimization, and classification requirements
- Validate encryption, access logging, retention, and deletion controls for data used by AI systems