Strategic Responsibilities

• Provide deep technical leadership for enterprise threat modeling efforts focused on AI-enabled attacks, credential abuse, machine identity compromise, and emerging identity-related threats.
• Solve complex identity security challenges associated with agentic AI, synthetic identities, autonomous workflows, and machine-to-machine communications at enterprise scale.
• Champion the enterprise identity strategy to support agentic workforce and processes.
• Lead the technical direction for enterprise identity security by defining and advancing scalable architectures, engineering practices, and security controls for human identities, non-human identities, AI agents, APIs, workloads, and autonomous platforms, driving engineering excellence and secure adoption across teams and platforms.
• Design next-generation approaches to identity governance, privileged access, authentication, authorization, and continuous trust.
• Advance adaptive authentication and risk-based access decisions informed by behavioral analytics, AI-driven risk signals, device posture, and contextual intelligence.
• Drive the integration of AI-powered detection, prevention, and response capabilities into identity security ecosystem.
• Influence technology and security roadmaps across Engineering, Infrastructure, Cyber Defense, Digital, Data, and Enterprise Architecture teams.

Agentic Identity Security

• Lead the technical direction for enterprise identity security by defining and advancing scalable architectures, engineering practices, and security controls for human identities, non-human identities, AI agents, APIs, workloads, and autonomous platforms, driving engineering excellence and secure adoption across teams and platforms.
• Define how AI agents are provisioned, governed, monitored, and decommissioned.
• Establish enterprise controls for agent authorization boundaries, delegated authority, and least-privilege access.
• Create frameworks to manage agent accountability, auditability, and policy enforcement.
• Machine and Non-Human Identity Governance
• Develop enterprise strategies for secrets management, workload identity, service accounts, API security, and machine credential lifecycle management.
• Reduce risks associated with identity sprawl as autonomous systems proliferate.

AI-Driven Identity Operations

• Champion intelligent automation within IAM, leveraging AI to improve access reviews, entitlement analysis, role mining, policy recommendations, and anomaly detection.
• Drive innovation that reduces friction while improving security outcomes.
• Engineer monitoring and detection capabilities for anomalous agent behavior across AI agents, machine identities, and autonomous workflows, working directly with other teams to embed these signals into existing detection and response pipelines.
• Learning and Applying New Techniques
• Lead research initiatives focused on emerging AI threat capabilities, adversarial AI techniques, and evolving attack methodologies.
• Maintain deep expertise in industry frameworks such as OWASP LLM Top 10 and MITRE ATLAS.
• Continuously evaluate and introduce modern security technologies and approaches to address AI-era risks.
• Drive adoption of innovative defensive techniques across the organization to stay ahead of threat evolution.

Collaborating For Success

• Provide deep technical expertise in identity and AI security to solve complex, high-impact problems and remove critical technical roadblocks across teams.
• Partner with product teams and engineering teams to build AI and identity security requirements directly into technical designs, user stories, and delivery.
• Act as a hands-on technical leader in system design, embedding AI and identity security into how solutions are actually built.
• Define and drive technical standards for detection, telemetry, and response to AI and identity threats, collaborating with IAM and cross-functional teams to build integrated, measurable, and operationally effective solutions.
• Build and promote engineering standards, secure-by-default patterns, and reusable reference implementations that teams can adopt directly.
• Mentor engineers and elevate identity and AI security capabilities through code, design reviews, and hands-on technical guidance.
• Influence senior leadership on AI and identity risk posture, threat evolution, and the technical investments needed to stay ahead.

• Bachelor's degree in Computer Science, Cybersecurity, or related technical field, or equivalent work experience.
• 10+ years of experience in security engineering or related field.
• Proven experience defining and executing enterprise security strategy.
• Deep knowledge of modern threats, attack techniques, and detection engineering.
• Experience with threat modeling, incident response, and security operations.
• Demonstrated ability to influence both technical and executive stakeholders.

• Proven ability to evaluate protocols, practices, and patterns based on enterprise fit, risk management, operability, and adoption at scale.
• Advance adaptive authentication and risk-based access decisions informed by behavioral analytics, AI-driven risk signals, device posture, and contextual intelligence.
• Knowledge of Agentic AI architectures, AI agents, machine identities, non-human identities (NHI), autonomous systems, and AI-enabled workflows. Experience establishing governance, authorization, accountability, and trust models for autonomous actors.
• Familiarity with AI security frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS).