Senior AI Driven IAM

Senior AI Engineer at EY designing AI-led solutions across Identity and Access Management and Cybersecurity. Collaborating with teams to deliver enterprise-scale identity transformations.

Posted 7/10/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI engineering and IAM technology delivery, with a strong focus on developing AI solutions for identity and access management. Proficient in integrating AI with various IAM platforms and applying machine learning techniques for risk analysis and compliance.

Highest-signal resume keywords

AI EngineeringIdentity Access Management (IAM)Python ProgrammingMachine Learning (ML)Cybersecurity Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solutions DevelopmentPythonPowerShellAPIsMachine Learning ModelsNLPAnomaly DetectionSQLRAGEmbeddings

Soft Skills

Consulting MindsetCommunication Skills

Tools & Technologies

SailPointSaviyntCyberArkMicrosoft Entra IDAzureAWSPower BITableauSplunkMicrosoft Sentinel

Industry Keywords

Single Sign-On (SSO)Multi-Factor Authentication (MFA)Privileged Access Management (PAM)Identity Governance and Administration (IGA)Risk-Based AuthenticationService AccountsToken ControlsSecurity Information and Event Management (SIEM)User and Entity Behavior Analytics (UEBA)Identity Lifecycle Management

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDNSJavaScriptPythonSplunkSQLTableauVault

About the role

Key responsibilities & impact

Design, develop and operationalize AI solutions for IAM and Cybersecurity use cases across SSO, MFA, Conditional Access, IGA, PAM, AD/Entra ID and NHI domains.
Build hands-on AI/ML capabilities using Python, PowerShell, LLM/SLM APIs, embeddings, RAG, LangChain, LangGraph, MCP, ADKs and AI orchestration engines.
Develop agentic AI workflows, copilots and automation frameworks for access requests, certification campaigns, provisioning, privileged access, remediation and identity operations.
Integrate AI solutions with SailPoint, Saviynt, CyberArk, Microsoft Entra ID, Active Directory, Azure, AWS, Microsoft Graph API, SIEM/SOAR, Splunk, Microsoft Sentinel, Microsoft Defender, CrowdStrike and XDR platforms.
Analyze identity, access, privilege, vault, directory, activity and security logs to identify risk patterns, anomalies, access recommendations, role mining opportunities and policy gaps.
Support AI-driven IAM governance including risk-based authentication, risk-based provisioning, access reviews, compliance checks, SOD, identity lifecycle orchestration and audit-ready reporting.
Apply ML, classification, optimization, time series analysis, pattern recognition, NLP, UEBA, anomaly detection and predictive risk scoring for identity and access intelligence.
Work on Non-Human Identity use cases including service accounts, managed identities, service principals, enterprise applications, API-based identities, workload identities, agent identities, token misuse and agent overreach controls.
Contribute to PAM analytics and automation across CyberArk, Privilege Cloud, EPM, EPV, CPM, PSM, JIT/JEA, password rotation, secret lifecycle management, session monitoring and vault log analytics.
Create dashboards and insights using Power BI, Tableau and identity analytics views to explain access risk, compliance posture, user activity trends and remediation priorities.
Collaborate with business, cyber and IAM stakeholders to convert problem statements into working prototypes, scalable solutions and executive-ready recommendations.

Requirements

What you’ll need

5+ years of hands-on experience in AI engineering, software development, data science, automation, cybersecurity analytics or IAM technology delivery.
Practical experience building AI applications using LLM/SLM APIs, RAG, embeddings, prompt engineering, agentic AI, AI agents, copilots and multi-agent workflows.
Strong programming and automation experience in Python, PowerShell, APIs, SQL basics and Microsoft Graph API; exposure to HTML, CSS and JavaScript is preferred.
Hands-on exposure to Azure AI, OpenAI, AWS, Python-based AI/ML frameworks, ML models, classification, optimization, NLP, pattern recognition, time series analysis and anomaly detection.
Working knowledge of IAM concepts including SSO, MFA, Conditional Access, SAML, OAuth, OIDC with PKCE, authentication, authorization, federation, certificate management and key management.
Working knowledge of Microsoft Entra ID, Active Directory, Entra Connect, Cloud Sync, Directory Services, DNS, Global Catalog, GPO, OU, Domains/Forests, FSMO roles and Sites and Services.
Experience or strong exposure to IGA platforms and concepts such as SailPoint, Saviynt, identity lifecycle, access reviews, certification campaigns, role mining, SOD, access risk and policy compliance.
Experience or strong exposure to PAM concepts and tools including CyberArk, Privilege Cloud, EPM, EPV, CPM, PSM, JIT/JEA, password rotation, secrets, session monitoring and vault logs.
Understanding of NHI and AI identity security including service accounts, managed identities, service principals, enterprise applications, API-based identities, workload identities, agent identities and token controls.
Experience with security monitoring or analytics platforms such as SIEM, SOAR, UEBA, Splunk, Microsoft Sentinel, Microsoft Defender, CrowdStrike, XDR and Identity Protection.
Strong consulting mindset with the ability to communicate AI, IAM and Cybersecurity topics clearly to technical teams and leadership stakeholders.

Benefits

Comp & perks

Health and wellness packages
Professional development opportunities