AI-Driven IAM Security Engineer (Remote)

HealthEquity, Inc.

Northern (KY)

Hybrid

USD 97,000 - 123,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision

HSA contribution and match

Dependent care FSA match

Uncapped PTO

Paid parental leave

401(k) match

Tuition assistance

Gym reimbursement

Wellness program

Job summary

HealthEquity, Inc. is seeking an IAM Engineer to lead detection, automation, and governance across enterprise IAM systems.

You will implement and automate access provisioning, reporting, and reviews while leveraging AI-enabled capabilities to summarize issues and recommend remediation steps. You will work with SailPoint, Entra ID, and PAM tools, building autonomous AI agents using Azure, Langchain, and Claude to detect anomalies and improve access hygiene.

Qualifications

Bachelor's degree in Computer Science, Information Systems, or related field.
5+ years of experience in Identity and Access Management, cybersecurity, information security, or related technical field.
Experience supporting enterprise IAM solutions, identity governance, access lifecycle management, and access control processes.
Experience with automation, scripting, data analysis, reporting, or AI-assisted workflow improvement.

Responsibilities

Manage, configure, and optimize IAM solutions, including SailPoint Identity Security Cloud, Entra ID, and related identity governance tools.
Develop, maintain, and improve automation for IAM processes, including access provisioning, compliance reporting, role management, entitlement review, and routine administrative workflows.
Utilize and help develop AI-enabled capabilities to simplify IAM administration, identify anomalies or access risks, summarize access-related issues, and recommend remediation steps.
Build AI solutions that enhance IAM access administration, governance, hygiene, and program management functions. Utilize tools like Anthropic Claude, Copilot on Azure, and Langchain to create intelligent systems that can detect anomalous activities.
Lead the development of retrieval-augmented LLM tools to answer analyst requestor queries, auto-summarize issues information, and recommend next steps for access requests and/or access remediation.
Collaborate with the AI COE and AI Engineering team for best practices, technology, and AI support needs.
Use IAM data, reporting tools, and analytical methods to identify access trends, support KPIs and KRIs, improve access hygiene, and provide actionable insights for IAM and compliance stakeholders.
Utilize large datasets to develop access models and generate actionable insights. Focus on building AI agents without the need for deep expertise in based AI models
Support the development and refinement of rules, queries, reports, and AI-assisted methods that help detect non-standard access, policy violations, privileged access risks, or unusual access patterns.
Support provisioning, de-provisioning, access changes, and access review processes to ensure users, applications, and systems have appropriate access based on business need, role, and policy requirements.
Support IAM governance activities to help ensure alignment with internal policies, security standards, and regulatory frameworks such as HIPAA, SOX, SOC2, PCI-DSS, and related requirements.
Partner with Security, IT, application owners, business stakeholders, internal audit, and compliance teams to support consistent access management, policy enforcement, and process improvement.
Contribute to the ongoing maturity of IAM processes, tools, documentation, and controls by identifying opportunities to reduce manual effort, improve accuracy, and strengthen security outcomes.