Sr. AVP-Agentic AI Identity Managemnt

Key Responsibilities

• Enterprise Architecture & Strategy
• Architect and govern Identity Management for AI and autonomous agents, covering:
• Agent discovery, registration, and attestation
• Identity lifecycle (birth → permissioning → rotation → revocation → decommissioning)
• Human‐to‐AI and AI‐to‐AI trust relationships
• Transitioning from existing Microsoft MIM based Identity Management to IGA Platform with Agentic AI Identities
• Least privilege access
• Just‐in‐time and ephemeral credentials
• Context‐aware and risk‐adaptive authorization
• Define policy‐as‐code frameworks for:
• Ensure full traceability and accountability across agent actions, decisions, data access, and privilege usage.
• Partner with Cyber, Risk, and Compliance teams to ensure architectures meet PCI DSS, SOC2, ISO 27001/42001, HIPAA, and emerging AI governance requirements.
• Act as design authority for Identity for AI initiatives, including integrations with platforms such as Microsoft Entra, Okta, CyberArk, SailPoint, Saviynt, and AI‐native identity controls.
• Agentic AI Platforms & Emerging Technologies
• Architect and govern AI platforms leveraging:
• Tools: Claude, Copilot, Gemini, Cursor, Replit, LangSmith, OpenClaw, Mostly, PyTorch, NeMo, Antigravity, etc.
• Frameworks: NVIDIA NeMo, CrewAI, LangGraph, agent orchestration and evaluation frameworks
• Define secure AI adoption patterns —sandbox to production—ensuring:
• Data isolation
• Controlled model access
• Identity‐centric execution
• Establish standards for prompt governance, agent behavior control, autonomy limits, and rollback strategies.
• Security‐Aligned Architecture
• Embed security thinking deeply into architecture design, with strong alignment to SIEM, CNAPP, Run time Security and cloud security, identity (including Identity for AI), and zero‐trust principles.
• Partner with Risk, Compliance, and Security teams to ensure architectures meet regulatory, audit, and enterprise assurance requirements.
• Act as a senior design authority for secure AI, cloud, and infrastructure solutions.
• Solution Leadership & Problem Solving
• Lead complex, cross‐domain solutioning for strategic initiatives, client‐facing platforms, and internal transformation programs.
• Translate ambiguous business needs into clear, scalable, and secure technology solutions.
• Provide architectural oversight for critical programs, ensuring design integrity and outcome realization.
• Stakeholder & Executive Engagement
• Engage credibly with senior management, business leaders, and technology partners, articulating complex concepts with clarity and confidence.
• Influence decision‐making through executive‐grade communication, architectural rationale, and risk‐reward framing.
• Mentor architects and senior engineers, raising the overall architecture maturity of the organization.
• Core Skills & Expertise
• Agentic AI & Emerging Technologies: Strong conceptual and architectural understanding of agentic AI platforms, AI infrastructure, and secure AI adoption models.
• Identity and Access Management: Strong hands on experience in Designing, implementing and governing IDAM tools. Knowledge of Platforms like Microsoft MIM and Entra ID, Active Directory, Okta, Ping, SailPoint,
• Multi‐Cloud Architecture: Deep expertise across major cloud platforms with strong grounding in hybrid and enterprise integration patterns.
• Security‐First Mindset: Practical alignment with SIEM, CNAPP, cloud security, AI identity, and policy‐driven controls.
• Solution Architecture: Exceptional ability to design end‐to‐end solutions spanning infrastructure, platforms, security, and applications.
• Executive Communication: Ability to communicate succinctly, persuasively, and confidently with senior leadership and business stakeholders.
• Outcome Orientation: Strong bias toward measurable impact, scalability, and long‐term sustainability over point solutions.
• Education
• Bachelor’s or Master’s degree in Engineering, Computer Science, Information Systems, or a related technical discipline.
• Advanced education (Master’s / Executive Programs) in Technology Management, Architecture, or AI/Digital Transformation preferred.
• Certifications (Preferred / Strongly Desired)
• Cloud Architecture: AWS, Azure, or GCP Professional / Architect‐level certifications
• Security & Risk: Certifications aligned to Cloud Security, CNAPP, SIEM, Zero Trust, or Secure AI domains
• Enterprise Architecture: TOGAF or equivalent architecture frameworks (desirable)
• AI / Emerging Tech: Certifications from leading AI providers like Microsoft, NVIDIA, Google, AWS, Claude, OpenAI