AI-Augmented IAM Security Engineer

EPAM Systems is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product, and platform engineering, EPAM empowers clients to become AI-Native enterprises driving measurable value from innovation and digital investments.

• Bachelor's degree in Computer Science, Cybersecurity, Engineering or equivalent practical experience
• 2+ years of hands-on experience implementing or operating Identity and Access Management solutions
• Experience with at least one enterprise IAM, IGA, PAM or federation platform
• Understanding of IAM concepts including identity lifecycle, authentication and authorization, SSO, federation, MFA, RBAC/ABAC, least privilege and privileged access
• Knowledge of common IAM protocols and standards such as SAML, OAuth 2.0, OpenID Connect, SCIM, LDAP, and Kerberos
• Experience configuring IAM controls, policies, connectors, and access governance workflows
• Working knowledge of cloud IAM concepts across at least one major cloud platform such as Azure, AWS or GCP
• Scripting and automation experience using at least one of PowerShell, Python, Bash, REST APIs, SCIM or Terraform
• Ability to work closely with developers, architects, infrastructure engineers, security operations, compliance teams, and business stakeholders
• Competency to follow, maintain and improve defined IAM and security processes, executing changes from tickets, runbooks and designs while escalating design questions
• Practical understanding of AI-assisted productivity and automation beyond basic chatbot usage, including building AI agents, automating IAM tasks, integrating LLMs with tools and documents, prompt engineering, and using AI tools securely
• Good communication skills to explain IAM issues, technical decisions, and remediation steps to technical and non-technical stakeholders

Nice to have:

• Familiarity with IAM platforms like Microsoft Entra ID, Active Directory, Okta, Ping Identity, ForgeRock, Auth0, SailPoint, Saviynt, or CyberArk
• Experience with CIAM, B2B/B2C identity, customer identity, external identity or partner access scenarios; SIEM/SOAR integrations for IAM monitoring, alerting and automated response
• Experience with CI/CD-based IAM deployment, configuration-as-code and automated testing of IAM changes
• Familiarity with AI/LLM platforms or frameworks such as Azure OpenAI, Amazon Bedrock, Microsoft Copilot Studio, LangChain, AutoGen, or Power Automate
• Understanding AI security risks including data leakage, prompt injection, excessive agency, insecure tool use, model governance, and sensitive identity data exposure
• Certifications like SC-300, Okta Certified Professional / Administrator / Consultant, SailPoint, Saviynt, CyberArk, Ping Identity, CISSP, CISM, CISA, CCSK, CCSP, SSCP, AI-900, or AWS Certified AI Practitioner

• Implement, configure, and operate IAM solutions and controls based on architecture, standards, and designs defined by IAM architects and security leadership
• Maintain identity lifecycle (Joiner / Mover / Leaver) processes, including automated provisioning and deprovisioning across target systems
• Configure core IAM capabilities, including SSO, federation, MFA and passwordless authentication, conditional access, RBAC/ABAC role models, and least-privilege access
• Develop and deploy IAM integrations and connectors with cloud platforms, SaaS applications, enterprise systems, directories, authoritative source systems, databases, and APIs
• Execute access certification and review campaigns, perform entitlement clean-up and configure segregation-of-duties (SoD) rules according to access policies
• Operate Privileged Access Management controls, including credential vaulting, secrets rotation, session management, and just-in-time and just-enough access
• Develop automation scripts, workflows, and IAM tooling using PowerShell, Python, REST APIs, SCIM, Terraform or similar technologies
• Monitor IAM platform health, troubleshoot and resolve incidents and access issues, perform patching, upgrades, and configuration hardening
• Maintain IAM logging, alerting and monitoring, and run backup and recovery procedures according to defined runbooks and resilience requirements
• Deploy AI-assisted automations and agentic workflows reducing manual efforts in IAM operations
• Integrate AI agents and LLM-backed automations into IAM systems and pipelines via function calling, SCIM, REST, and webhooks
• Develop and maintain reusable prompts and structured-prompting patterns for AI assistants to answer from current internal sources
• Implement output verification, human-in-the-loop approval gates, and rollback paths in AI-assisted IAM workflows
• Implement security and privacy controls for IAM AI usage, including least-privilege access for agents and secrets handling
• Monitor AI-assisted IAM automations in production, measure accuracy and impact, tune prompts and workflows, and produce operational documentation

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