Remote IAM Cloud Engineer: AI-Driven Security

HealthEquity, Inc.; United States; Remote; USD 115,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, and vision

HSA contribution and match

401(k) match

Paid time off

Job summary

HealthEquity, Inc. is seeking an IAM Cloud Security Engineer to design, secure, and operate AI-driven IAM systems across multi-cloud environments, incorporating GenAI capabilities and zero trust principles.

You will build AI agents, implement SSO/MFA/RBAC/PAM, and automate IAM lifecycle management using scripting and cloud tools, collaborating with governance and security teams to ensure robust access controls.

Qualifications

• Bachelor’s degree in computer science, information technology, cybersecurity, data science, or a related field, or equivalent practical experience.
• 8-10 years in IAM engineering, cloud security, or GenAI/ML engineering.
• Experience supporting IAM capabilities in cloud or hybrid environments, including Microsoft Entra ID, Okta, Azure, AWS, GCP, or similar platforms.
• Experience implementing, supporting, or automating identity lifecycle management, access controls, authentication policies, and entitlement governance.
• Experience applying automation, scripting, or AI-enabled tools to improve IAM operations, access governance, or security workflows preferred.

Responsibilities

• Design, implement, and maintain IAM frameworks (SSO, MFA, RBAC, PAM) across multi-cloud environments. Harden cloud environments using IAM policies, KMS, WAF, Defender for Cloud, and compliance tools.
• 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.

Skills

IAM concepts

SSO

MFA

RBAC

PAM

Cloud security

GenAI

Scripting

Education

Bachelor's degree or equivalent

Tools

Microsoft Entra ID

Okta

Azure AD

AWS

GCP

Job description

HealthEquity, Inc. is seeking an IAM Cloud Security Engineer to design, secure, and operate AI-driven IAM systems across multi-cloud environments, incorporating GenAI capabilities and zero trust principles.

You will build AI agents, implement SSO/MFA/RBAC/PAM, and automate IAM lifecycle management using scripting and cloud tools, collaborating with governance and security teams to ensure robust access controls.