Sr IAM Cloud Engineer

Our Mission

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Overview
How you can make a difference

Join our team as an IAM Cloud Security Engineer. This role combines expertise in Identity and Access Management (IAM), cloud security, and Generative AI (GenAI) to design, secure, and operate AI-driven systems in our cloud environments. This is a game-changing role driving innovation with AI to identify non-standard cloud access, standardize through remediation, and automate IAM cloud functions. Innovate with AI by leading the development of advanced tools that summarize complex issues and recommend remediation plans, while continuously refining automated and manual administration while reducing the need for human intervention.

You will build and deploy cutting-edge AI agents using platforms like Azure and Langchain, creating intelligent systems that can autonomously detect anomalous activities. This role sits at the intersection of IAM engineering and IAM cloud security. It provides a unique opportunity to collaborate and lead cross-functional efforts with internal business and technical application owners, various lines of business within the organization, and governance and compliance teams by constantly evolving and maturing identity and access processes with the use of AI. As organizations adopt AI at scale in the cloud, securing both the infrastructure and the AI workloads is critical. This role ensures that identity, access, and security controls are embedded into AI/ML systems, protecting sensitive data, preventing unauthorized access, and maintaining compliance.
What you’ll be doing

- Design, implement, and maintain IAM frameworks (SSO, MFA, RBAC, PAM) across multi-cloud environments (AWS, Azure, GCP). Harden cloud environments using IAM policies, KMS, WAF, GuardDuty, Defender for Cloud, and compliance tools. Automate identity lifecycle management, provisioning, and deprovisioning.

- Define and standardize IAM cloud access structures and secure cloud configurations. Build detection pipelines, automate compliance checks, and integrate CEIM tools

- Support the secure use of Generative AI capabilities within IAM environments, including use cases related to access analysis, anomaly detection, issue summarization, remediation recommendations, and operational workflow automation.

- Contribute to the design, testing, and refinement of AI-enabled IAM tools, prompts, retrieval strategies, and automation workflows that improve detection of non-standard access and support governance activities.

- Partner with senior engineers, architects, and security teams to ensure AI-enabled IAM solutions align with model governance, data protection, API security, access control, and compliance expectations.

- Collaborate with the AI COE and AI Engineering team for best practices, technology, and AI support needs.

- Support cloud non-human identity hygiene, including discovery, inventory review, ownership validation, credential and secret rotation support, stale or orphaned identity cleanup, privilege right-sizing, and key or policy review.

- Strengthen authentication security by supporting modern authentication architecture, account fencing, reduction of legacy or non-standard authentication paths, and detection of risky sign-in behavior.

- Configure and maintain authentication and authorization controls to ensure secure access to internal, external, cloud, and hybrid systems.

- Automate IAM processes and workflows using scripting, integrations, and approved tooling to improve consistency, reduce manual work, and strengthen control execution.

- Define, implement, and support Conditional Access and adaptive access policies, including Microsoft Entra ID controls, to advance Zero Trust principles.

- Support the modernization and migration of IAM capabilities across cloud environments, including access policy design, entitlement governance, identity federation, and integr