Director, AI Security

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

📋 Description

• Lead the team tasked with securing Kyndryl's internal AI platforms, applications, copilots, agents, model deployments, and cutting-edge AI initiatives.

• Define the strategy for the AI Security function and build a dedicated team.

• Establish a sustainable operating model and ensure security controls throughout the enterprise AI lifecycle.

• Build, guide, mentor, and develop the AI Security team with defined roles, priorities, delivery expectations, and career progression.

• Own the team’s charter, roadmap, intake model, service catalog, operating rhythm, budget priorities, metrics, and executive reporting.

• Define and implement the technical strategy for enterprise AI security.

• Direct reusable controls for AI applications, runtimes, gateways, orchestration services, and model platforms.

• Oversee AI threat modeling, architecture reviews, adversarial testing, code and agent testing, telemetry, and remediation efforts.

• Drive significant AI risks to remediation, approved exceptions, or explicit risk acceptance.

• Collaborate with Cybersecurity, CIO, AI Platform, AI Governance, Architecture, Engineering, Data, Legal, Privacy, Procurement, and business teams.

• Update executives on posture, material risks, investment requirements, trade-offs, and recommended decisions.

⛳️ Requirements

• A minimum of 10 years of experience in cybersecurity, product security, application security, cloud security, platform security, software engineering, or a related discipline.

• Proven experience in leading and developing technical teams.

• Experience in managing an enterprise security capability, technical program, product, or engineering roadmap.

• Strong understanding of cloud-native architectures, APIs, IAM, secure software development, telemetry, and platform engineering.

• Aptitude for assessing complex architectures and guiding practical implementation decisions.

• Excellent executive communication skills.

• Experience in building or securing generative AI applications, agents, copilots, model platforms, or machine learning systems.

• Familiarity with AI gateways, RAG, vector databases, model routing, orchestration, MCP, or model-serving platforms.

• Experience in AI red teaming, adversarial testing, prompt injection defenses, agent testing, or automated control validation.

• Relevant security, cloud, engineering leadership, or AI certifications are preferred.

🏝️ Benefits

• Discretionary annual bonus program based on performance.

• Medical and dental insurance coverage.

• Disability benefits.

• Retirement benefits.

• Paid leave.

• Paid time off.

• Employee learning programs and access to certifications, including Microsoft, Google, Amazon, Skillsoft, and more.

• Company-wide volunteering and giving platform.

• Access to Fortune 100 clients and state-of-the-art resources.

• Inclusion Networks and workplace support.