AI-Augmented IAM Security Engineer

We are seeking an AI-Augmented IAM Security Engineer to handle the hands-on implementation, configuration, automation and day-to-day operation of enterprise Identity and Access Management. This is a delivery-and-operations role that works within the designs, standards, role models and policies set by IAM architects and security leadership. The focus is building, configuring, scripting, running and troubleshooting IAM, not defining target-state architecture, role models or governance policy. Responsibilities Implement, configure and operate IAM solutions and controls based on architecture, standards and designs defined by IAM architects and security leadershipMaintain identity lifecycle (Joiner / Mover / Leaver) processes, including automated provisioning and deprovisioning across target systemsConfigure core IAM capabilities, including SSO, federation, MFA and passwordless authentication, conditional access, RBAC/ABAC role models and least-privilege accessDevelop and deploy IAM integrations and connectors with cloud platforms, SaaS applications, enterprise systems, directories, authoritative source systems, databases and APIsExecute access certification and review campaigns, perform entitlement clean-up and configure segregation-of-duties (SoD) rules according to access policies defined by architects and the businessOperate Privileged Access Management controls, including credential vaulting, secrets rotation, session management and just-in-time and just-enough accessDevelop automation scripts, workflows and IAM tooling using PowerShell, Python, REST APIs, SCIM, Terraform or similar technologiesMonitor IAM platform health, troubleshoot and resolve incidents and access issues, and perform patching, upgrades and configuration hardeningMaintain IAM logging, alerting and monitoring, and run backup and recovery procedures according to defined runbooks and resilience requirementsDeploy AI-assisted automations and agentic workflows that reduce manual effort across daily IAM operations, such as access request triage, entitlement analysis, anomaly detection, root-cause analysis, privileged access review support, compliance evidence collection and documentation generationIntegrate AI agents and LLM-backed automations into IAM systems and operational pipelines, connecting models to internal tools, APIs, directories, ticketing and IAM platforms via function calling, SCIM, REST and webhooksDevelop and maintain reusable prompts, structured-prompting patterns and prompt templates, and implement retrieval over IAM policies, role catalogs, runbooks and documentation (for example RAG) so AI assistants answer from current authoritative internal sourcesImplement output verification, human-in-the-loop approval gates and rollback paths in AI-assisted IAM workflows, so no AI-driven change reaches production access without reviewImplement security and privacy controls for IAM AI usage, including least-privilege access for agents, secrets and credential handling, prompt-injection resistance, redaction of sensitive identity data and full auditability of AI-driven actionsMonitor AI-assisted IAM automations in production, measure their accuracy and impact, continuously tune prompts, tools and workflows, and produce operational documentation, runbooks and standard operating procedures while supporting audits and compliance evidence requests Requirements Bachelor's degree in Computer Science, Cybersecurity, Engineering or equivalent practical experience2+ years of hands-on experience implementing or operating Identity and Access Management solutionsExperience with at least one enterprise IAM, IGA, PAM or federation platformUnderstanding of IAM concepts, including identity lifecycle, authentication and authorization, SSO, federation, MFA, RBAC/ABAC, least privilege and privileged accessKnowledge of common IAM protocols and standards such as SAML, OAuth 2.0 and OpenID Connect, alongside SCIM, LDAP and KerberosExperience configuring IAM controls, policies, connectors and access governance workflowsWorking knowledge of cloud IAM concepts across at least one major cloud platform such as Azure, AWS or GCPScripting and automation experience using at least one of PowerShell, Python, Bash, REST APIs, SCIM or TerraformCapability to work closely with developers, architects, infrastructure engineers, security operations, compliance teams and business stakeholdersCompetency to follow, maintain and improve defined IAM and security processes, executing changes from tickets, runbooks and designs while escalating design-level questionsPractical understanding of AI-assisted productivity and automation beyond basic chatbot usage, including building AI agents, automating repetitive IAM tasks, integrating LLMs with tools and documents, prompt engineering and using AI tools securely with awareness of sensitive identity dataGood communication skills and the ability to explain IAM issues, technical decisions and remediation steps to both technical and non-tech