Lead AI Security Engineer

Job title: Lead AI Security Engineer

About the Role The Lead AI Security Engineer is a senior technical role responsible for enabling the secure adoption of AI capabilities across the organization. This role defines and evolves security and risk requirements for enterprise AI capabilities, in addition to designing and implementing the supporting controls.

What You'll Do

• Lead the definition, design, and implementation of security capabilities that enable secure enterprise AI adoption across platforms such as Microsoft Copilot, Claude, and agentic AI frameworks.
• Define security and risk requirements for enterprise AI platforms and agent-based systems.
• Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and enterprise requirements.
• Partner with AI platform, engineering, and product teams to embed security requirements and controls into architecture, design, delivery, and operations.
• Conduct security reviews and threat modeling for AI use cases, agent workflows, integrations, and platform capabilities to identify required controls before production deployment.
• Define and guide implementation of controls related to AI agent identity, tool and API access, data usage constraints, auditability, and agent behavior in enterprise environments.
• Lead evaluation, proof-of-concept, and selection of activities for native and third-party capabilities that support AI security, governance, and control objectives.
• Assess integration requirements across enterprise identity, logging, monitoring, data protection, and security tooling.
• Drive cross-functional implementation efforts involving security, platform, engineering, and product teams to operationalize AI security capabilities and supporting processes.
• Maintain practical standards, guidance, and best practices for secure AI deployment, configuration, and ongoing platform administration.
• Provide consultation and technical direction where security is not the system owner, ensuring effective security requirements are defined and applied.

What We're Looking For

• 7+ years of experience in information technology or cybersecurity, including at least five years in security engineering or related technical area such as cloud security, identity and access management, data protection, application security, security operations, vulnerability management, incident response, or platform security.
• Hands-on experience designing and implementing security controls in modern environments, including cloud platforms, APIs, identity systems, data protection, and monitoring.
• Experience defining security requirements, standards, guardrails, or control frameworks in complex enterprise environments.
• Practical experience or strong working knowledge of AI or LLM-based systems, including their behavior, risks, and security implications.
• Strong security engineering judgment, practical AI understanding, and the ability to balance risk reduction with business enablement.

Nice to Have

• Familiarity with AI platforms such as Microsoft Copilot, Claude, and agent-based frameworks, and experience with Azure AI Foundry.

Compensation & Benefits

• Salary: USD 121,000.00 - USD 173,000.00 per year
• Work arrangement: Onsite at Johnston, RI with option to work from home two days per week (hybrid)
• Relocation: Not offered