IAM & AI Engineer (Identity & Access Management + AI Automation)
Job Title: IAM & AI Engineer (Identity & Access Management + AI Automation)
Experience: 5–8 Years
Location: Bengaluru (Onsite/Hybrid)
Employment Type: Full-Time / Contract
About the Role
We are seeking a highly skilled IAM & AI Engineer with hands-on experience in Identity & Access Management (IAM), AI/ML technologies, LLMs, Copilot solutions, Agentic AI, and workflow automation. The ideal candidate should have experience designing secure AI-driven solutions while ensuring compliance, governance, and seamless integration with enterprise systems.
Mandatory Skills
- Identity & Access Management (IAM)
- AI/ML, Large Language Models (LLMs)
- Microsoft Copilot / GitHub Copilot / AI Copilot Solutions
- Agentic AI Frameworks (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or equivalent)
- Workflow Automation using APIs, Scripts, Connectors
- REST APIs & Webhooks
- Python or PowerShell Scripting
- Privileged Access Management (PAM)
- ServiceNow (ITSM)
- AI Security, Compliance & Data Governance
- Experience building AI-powered products or enterprise AI solutions
Key Responsibilities
- Design, implement, and manage enterprise Identity & Access Management (IAM) solutions.
- Develop AI-powered assistants, Copilots, and Agentic AI workflows for enterprise automation.
- Build secure integrations using REST APIs, webhooks, connectors, and scripting.
- Automate IT and business processes using AI, APIs, and workflow orchestration tools.
- Implement and manage Privileged Access Management (PAM) solutions.
- Integrate IAM workflows with ServiceNow for identity lifecycle management.
- Develop AI-enabled automation for user provisioning, access reviews, and approval workflows.
- Ensure AI applications comply with enterprise security, privacy, and governance standards.
- Implement AI security controls, prompt security, data protection, and model governance.
- Collaborate with security, infrastructure, cloud, and application teams to deliver scalable AI solutions.
- Monitor, troubleshoot, and optimize AI and IAM platforms.
- Create technical documentation, deployment guides, and best practices.
Required Experience
- 5–8 years of experience in Identity & Access Management (IAM).
- Hands-on experience with Azure AD (Microsoft Entra ID), Okta, SailPoint, Ping Identity, ForgeRock, CyberArk, or similar IAM/PAM platforms.
- Experience building AI applications using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
- Practical experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent Agentic AI frameworks.
- Strong knowledge of REST APIs, authentication protocols (OAuth 2.0, OpenID Connect, SAML, JWT), and workflow automation.
- Experience integrating AI solutions with enterprise systems such as ServiceNow, Microsoft 365, Azure, AWS, or GCP.
- Experience implementing AI governance, compliance, responsible AI practices, and secure AI deployment.
- Strong understanding of cloud security, Zero Trust, RBAC, ABAC, and least-privilege access models.
Preferred Skills
- Microsoft Azure AI / Azure OpenAI Services
- Microsoft Power Platform (Power Automate)
- AWS or Azure Cloud Security
- Kubernetes & Docker
- CI/CD Pipelines
- RAG (Retrieval-Augmented Generation)
- Vector Databases (Pinecone, Chroma, FAISS, Azure AI Search)
- Prompt Engineering and AI Evaluation
- DevSecOps practices
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.
- Relevant certifications are a plus:
- Microsoft Certified: Identity and Access Administrator Associate
- Microsoft Certified: Azure AI Engineer Associate
- Okta Certified Professional
- SailPoint IdentityIQ
- CyberArk Defender/Sentry
- SC-300, AZ-104, AI-102
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Follow CutshortShubham Vishwakarma
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