Sr. AVP-Agentic AI Identity Managemnt

Posted 2 Months Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Lead enterprise architecture for identity and access management tailored to agentic AI. Design agent lifecycle, trust, policy-as-code, and secure AI adoption patterns. Integrate IGA and identity platforms (Entra, Okta, SailPoint, CyberArk), embed security (SIEM, CNAPP, zero-trust), ensure regulatory compliance, and advise senior stakeholders while mentoring architects and driving scalable, auditable solutions.
Summary Generated by Built In

Job Description

Senior Assistant Vice President (D2)

Senior Principal Architect – Agentic AI Identity Management

Function: Global Technology
Reporting To: VP / SVP – Technology Cloud & Infrastructure


Role Overview

The Sr. AVP (D2) – Senior Principal Architect, Agentic AI Identity Management is a foundational technology leadership role responsible for shaping EXL’s Identity Management system  and expanding it for agentic‑AI ecosystem.

This role operates at the intersection of architecture, security, automation, and business outcomes, providing deep technical stewardship while influencing senior stakeholders across business, delivery, risk, and governance. The incumbent will act as a technology authority, solution catalyst, and strategic advisor, ensuring platforms are secure‑by‑design, scalable‑by‑default, and outcome‑aligned.


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

Responsibilities

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.
Qualifications

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

About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.


EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.

Skills Required

  • Bachelor's or Master's degree in Engineering, Computer Science, Information Systems, or related technical discipline
  • Hands-on experience designing and governing Identity and Access Management (agent lifecycle, permissioning, rotation, revocation)
  • Experience with Microsoft MIM, Entra ID/Active Directory and IGA platforms (Okta, Ping, SailPoint, Saviynt, CyberArk)
  • Architectural experience with agentic AI platforms and AI infrastructure (model access, sandbox-to-production, prompt governance)
  • Multi-cloud architecture expertise across AWS, Azure, and/or GCP and hybrid integration patterns
  • Strong security-first experience aligning identity to SIEM, CNAPP, runtime security and zero-trust principles
  • Proven solution architecture experience designing end-to-end infrastructure, platforms, security, and application solutions
  • Executive communication and stakeholder engagement experience; ability to influence senior leadership
  • Experience ensuring regulatory/compliance alignment (PCI DSS, SOC2, ISO 27001/42001, HIPAA) for architectures
  • Certifications such as AWS/Azure/GCP Architect, TOGAF, Cloud Security/CNAPP/SIEM, or AI provider certifications
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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