AI-Augmented IAM Security Engineer

EPAM 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, they empower 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 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: identity lifecycle, authentication and authorization, SSO, federation, MFA, RBAC/ABAC, least privilege, privileged access
• Knowledge of 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 on at least one major platform like Azure, AWS, or GCP
• Scripting and automation skills with 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, execute changes from tickets, runbooks, and designs
• Practical understanding of AI-assisted productivity and automation including building AI agents, integrating LLMs, prompt engineering, and secure AI tool usage
• Good communication skills to explain IAM issues and technical decisions to technical and non-technical stakeholders

Nice to have:

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

• Implement, configure and operate IAM solutions based on architecture, standards, and designs defined by IAM architects and security leadership
• Maintain identity lifecycle processes including automated provisioning and deprovisioning across systems
• Configure core IAM capabilities including SSO, federation, MFA, passwordless authentication, conditional access, RBAC/ABAC roles, and least-privilege access
• Develop and deploy IAM integrations and connectors with cloud platforms, SaaS applications, enterprise systems, directories, authoritative sources, databases, and APIs
• Execute access certification and review campaigns, entitlement clean-up, and configure segregation-of-duties rules
• Operate Privileged Access Management controls including credential vaulting, secrets rotation, session management, and just-in-time/just-enough access
• Develop automation scripts, workflows, and IAM tooling using PowerShell, Python, REST APIs, SCIM, Terraform or similar
• Monitor IAM platform health, troubleshoot incidents, perform patching, upgrades, and configuration hardening
• Maintain IAM logging, alerting, monitoring, and perform backup and recovery per runbooks and resilience requirements
• Deploy AI-assisted automations and agentic workflows for access request triage, entitlement analysis, anomaly detection, root-cause analysis, privileged access review support, compliance evidence collection, and documentation generation
• Integrate AI agents and LLM-backed automations into IAM systems and operation pipelines via function calling, SCIM, REST, and webhooks
• Develop and maintain reusable prompts, structured-prompting patterns, and prompt templates; implement retrieval over IAM policies, role catalogs, runbooks, and documentation
• 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, secrets and credential handling, prompt-injection resistance, and auditability of AI actions
• Monitor AI-assisted IAM automations in production, measure accuracy and impact, tune prompts and workflows, and produce operational documentation supporting audits and compliance

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