How you can make a difference

HealthEquity is expanding the use of Artificial Intelligence (AI), including generative and agentic, to improve member, client, and teammate experiences while maintaining trust, safety, and compliance. The Principal Responsible AI Governance and Compliance role is a senior technical governance role responsible for ensuring AI systems are designed, deployed, and operated in a manner that is secure, compliant, auditable, and aligned with HealthEquity27s Responsible AI principles.

In this role, you will translate Responsible AI policy and governance requirements into concrete technical controls, validation mechanisms, and continuousassurance practices that scale across internal and thirdparty AI systems. Partnering with IT, Engineering, Product Development, Legal, Privacy, and internal Security teams, you will directly influence how AI is built and governed by embedding riskbased guardrails, evaluation standards, and monitoring into engineering and platform workflowsenabling innovation while reducing regulatory, security, privacy, and operational risk.

This role is critical to making AI governance real, defensible, and operational, ensuring HealthEquity can confidently adopt advanced AI capabilities without compromising member trust or regulatory obligations.

What you27ll be doing

• Engineer and operationalize technical AI governance controls across the full AI lifecycle, translating Responsible AI requirements into testable, measurable, and auditable controls.
• Lead or support technical assurance reviews for AI use cases, validating that documented behaviors, risks, and mitigations align with observed system behavior.
• Design and standardize AI governance artifacts, such as model/system cards, evaluation summaries, architecture and dataflow documentation, riskandcontrol mappings, and approval evidence.
• Establish continuous assurance mechanisms for AI systems by defining monitoring signals, metrics, dashboards, and automated evidence collection.
• Partner with security, privacy, data governance, legal, product, and engineering teams to embed AI controls by design into development and platform workflows.
• Drive continuous improvement efforts by identifying opportunities for enhancing security governance, risk management, and compliance practices.
• Serve as a principal technical subject matter expert on end-to-end AI governance lifecycle, providing guidance and advice to senior management on best practices and emerging
• Other AI Gov activities assigned by leadership.

What you will need to be successful

Technical Expertise

• Strong understanding of AI/ML and GenAI systems, including LLMs, RAG architectures, agentic workflows, toolcalling patterns, and humanoversight mechanisms.
• Handson experience with AI risk assessment and validation, including bias/fairness, robustness, hallucinations, drift, security threats, and misuse scenarios.
• Experience translating governance or regulatory expectations into engineeringready controls, quality gates, and acceptance criteria.
• Familiarity with AI governance and risk frameworks (e.g., NIST AI RMF, NIST CSF, SOC 2 principles) and applying them pragmatically to real systems.
• Comfort using tooling and automation (e.g., dashboards, evidence repositories, scripting, APIs, workflow tools) to reduce manual governance overhead.

Experience & Background

• Bachelor27s degree in Computer Science, Engineering, Data Science, Information Security, or a related field (or equivalent practical experience).
• 3+ years of direct experience working with or governing AI/ML systems in production or nearproduction environments.
• Experience supporting audit, regulatory, or client assurance efforts through highquality technical documentation and evidence.

General

• Ability to clearly communicate complex technical risk and control concepts to engineering, security, privacy, legal, and executive stakeholders.
• Strong technical writing skills for model documentation, validation summaries, decision logs, and audit responses.
• Sound judgment in balancing risk rigor with engineering practicality in fastmoving AI development environments.
• Proven ability to influence without authority and act as a trusted technical advisor in governance decisions.

#LI-Remote

This is a remote position.

The actual compensation offer isdeterminedbased on job-related knowledge, education, skills, experience, and work location. This position will be eligible for performance-based incentives as part of the total compensation package, in addition to a full range of benefits including:

• Medical, dental, and vision

• HSA contribution and match

• Dependent care FSA match

• Uncapped paid time off

• Paid parental leave

• 401(k) match

• Personal and healthcare financial literacy programs

• Ongoing education& tuitionassistance

• Gym and fitness reimbursement

• Wellness program incentives

Onboarding & Travel

This is a remote role, with an in-person onboarding trainingcomponent. New team members mustparticipatein Trailhead, HealthEquity27s immersive onboarding experience Trailhead is designed to foster meaningful connections, support your integration into the organization, and equip you with a strong understanding of our business. Trailhead participation is a key expectation of this role. Trailhead is heldonsiteat our headquarters once per quarter. HealthEquity covers all required travel and accommodations.

This role may begin with a virtual, self-paced onboarding experience, followed by a mandatory onsite Trailhead sessionat a later date.