Senior AI Driven IAM

Jobtailor; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Jobtailor in Bengaluru, India seeks an experienced AI engineer to design, develop and operationalize AI solutions for IAM and cybersecurity use cases across SSO, MFA, IGA, PAM, Entra ID and related domains.

You will build AI/ML capabilities using Python, PowerShell, LLM APIs, embeddings, RAG and LangChain, and integrate with SailPoint, CyberArk, Entra ID, AD/Entra and cloud platforms. The role emphasizes governance, risk-based authentication, access reviews and audit-ready reporting.

Qualifications

• 5+ years in AI engineering, software development, data science, automation, cybersecurity analytics or IAM delivery.
• Experience building AI apps with LLM/SLM APIs, embeddings, RAG and prompt engineering.
• Strong programming in Python and PowerShell; APIs and SQL basics; familiarity with Graph API.
• Hands-on with Azure AI, OpenAI, AWS; ML models, NLP, time-series and anomaly detection.
• IAM concepts: SSO, MFA, CA, SAML, OAuth/OIDC with PKCE, federation and key management.
• Experience with Entra ID, AD, Cloud Sync, GPO, DNS, and IAM governance workflows.

Responsibilities

• Design, develop and operationalize AI solutions for IAM and cybersecurity use cases.
• Build hands-on AI/ML capabilities and automations using Python, PowerShell, APIs and LangChain tools.
• Develop agentic AI workflows for access requests, provisioning and audits.
• Integrate AI with SailPoint, CyberArk, Entra ID, AD/Entra, Azure, AWS and SIEM/XDR platforms.
• Analyze logs to identify risk patterns, role-mining opportunities and policy gaps.
• Support AI-driven governance: risk-based auth, provisioning, access reviews and audits.
• Apply ML, NLP, UEBA and anomaly detection for identity insights.
• Work on non-human identities and token controls; manage secret lifecycle and sessions.
• Create dashboards with Power BI/Tableau to show access risk and remediation priorities.
• Collaborate with business, cyber and IAM stakeholders to prototype scalable solutions.

Skills

AI engineering

Software development

Data science

Automation

Cybersecurity analytics

IAM technology delivery

Python

PowerShell

APIs

SQL basics

Microsoft Graph API

HTML/CSS/JavaScript (pref.)

LLM/SLM APIs

RAG/Embeddings

LangChain

LangGraph

AI orchestration engines

MCP

Azure AI

OpenAI

AWS

NLP

Time-series analysis

Anomaly detection

SAML/OIDC/OAuth

Identity and access governance

PAM concepts/tools

Tools

LangChain

LangGraph

MCP

ADKs

SailPoint

Saviynt

CyberArk

Microsoft Entra ID

Active Directory

Azure

AWS

Microsoft Graph API

SIEM/SOAR

Splunk

Microsoft Sentinel

Microsoft Defender

CrowdStrike

XDR platforms

Job description

Responsibilities

• 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.

Qualifications

• 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.