Sr Cloud Applications Engineer

Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable.

How you can make a difference

HealthEquity has a vision that by 2030 we will make HSAs as wide-spread and popular as retirement accounts. We are passionate about providing a solution that allows American families to connect health and wealth and build health savings for life. Through our innovative technology and superior service delivery, our members gain valuable insights to better save and spend their healthcare dollars.

People are our greatest asset. We firmly believe that our team members drive the success of this company. We hire passionate contributors who enjoy the thrill of pioneering their positions to their full potential. Join us and discover a work experience where the person is valued more than the position, and where our purple culture drives a remarkable experience.

The Senior AI Engineer is the dedicated architect and lead developer for our internal AI engineering platform, a strategic capability within IT Engineering. This role designs and builds the cloud-native application and the AI/LLM services that power our in-house AI solutions on Microsoft Azure, closing a gap where architecture and AI development had no dedicated owner. Today, this work is split across infrastructure-focused engineers whose mandate is Azure and cloud administration rather than direct application and AI development - which limits delivery velocity and creates key-person risk. Working collaboratively with IT Engineering leadership, Security and Compliance, and business teams adopting AI, this position will establish reusable patterns, frameworks, and guardrails that let the broader organization build AI safely - while remaining hands-on: writing application and integration code, building and integrating LLM/AI services, and taking our AI initiatives from architecture through production.

What you'll be doing

Designing and developing AI/LLM-powered capabilities for internal business problems - including retrieval-augmented generation, orchestration, prompt and model integration - using Azure AI services (Azure OpenAI / Azure AI Foundry, Azure AI Search).
• Using agentic coding assistants (e.g., Claude Code, GitHub Copilot) as part of day-to-day development to accelerate delivery and model best practices for AI-assisted engineering.
• Establishing reusable patterns, frameworks, and guardrails for building AI applications - LLMOps/MLOps, evaluation, observability, and cost control - that other IT Engineering teams can adopt.
• Partnering with Security and Compliance to ensure all AI and cloud application work is secure-by-design and meets HealthEquity's HIPAA and data-protection standards.
• Serving as the technical point of contact and hands-on developer accelerating AI solution delivery across the organization.
• Identifying opportunities where internally built AI tools can reduce reliance on third-party software, contributing to operational efficiency.
• Contributing to the ongoing infrastructure and architecture of our AI engineering capability as a secure, scalable, cloud-native application on Microsoft Azure.
• Collaborating with cross-functional teams (IT, security, and business stakeholders) to ensure our AI capabilities meet business needs and align with organizational goals.
• Working with business units to gather requirements and translate them into AI-powered solutions.
• Monitoring and optimizing the performance, reliability, and cost-effectiveness of our AI and cloud services.
• Providing updates and recommendations to IT Engineering leadership on AI platform direction, adoption, and opportunities for improvement.
• Recommending improvements to engineering processes, standards, and tooling to increase the safety and efficiency of AI development across the organization.
• Mentoring and supporting other engineers as they adopt AI-assisted development practices and our platform's engineering patterns.
• Performing additional duties as assigned or identified to support team objectives.

What you will need to be successful

Education and Experience:

• Bachelor's degree in Computer Science, Software Engineering, or a related technology field, or equivalent practical experience.
• Minimum of 5 years of experience in software or cloud application engineering, including recent hands-on AI/ML development.
• Hands-on experience building AI/ML and LLM-based applications, including the Azure AI portfolio (Azure OpenAI / Azure AI Foundry, Azure AI Search), retrieval-augmented generation, orchestration frameworks, prompt engineering, and model integration and evaluation.
• Hands-on experience using agentic coding assistants (e.g., Claude Code, GitHub Copilot) as part of day-to-day development.

Technical Skills:

• Strong software development skills for cloud-native applications on Microsoft Azure (e.g., App Service, Functions, containers/AKS, API Management, storage and data services).
• Strong programming skills (e.g., Python, C#/.NET) and modern engineering practices: CI/CD, Infrastructure-as-Code, automated testing, and observability.
• Familiarity with MLOps/LLMOps and Agile delivery methodologies.
• Solid grounding in secure application design, identity (Microsoft Entra ID), API security, and data protection appropriate to a HIPAA-regulated environment.

Other Skills:

• Architectural judgment - able to evaluate trade-offs (model selection, cost, latency, accuracy, safety) and design sound approaches in an ambiguous, fast-changing domain.
• Strong communication and collaboration skills, with the ability to partner across Engineering, Security, Compliance, and business stakeholders.
• Microsoft/Azure AI certifications are a plus but not required.

#LI-Remote

This is a remote position.

The actual compensation offer is determined based on job-related knowledge, education, skills, experience, and work location. This position will be eligible for performance-based incentives and restricted stock units 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& tuition assistance

• Gym and fitness reimbursement

• Wellness program incentives

Onboarding & Travel

This is a remote role, with an in-person onboarding training component. New team members must participate in Trailhead, HealthEquity's 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 held onsite at 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 session at a later date.

HealthEquity is committed to providing reasonable accommodations to team members with qualifying disabilities. Should you be selected for this role and require an accommodation, we will put you in touch with our Benefits Team so you can begin the accommodation request process.

HealthEquity has a vision that by2030 we will make HSAs as wide-spread and popular as retirement accounts. We are passionate about providing a solution that allows American families to connect health and wealth. Join us and discover a work experience where the person is valued more than the position. Click here to learn more.

You belong at HealthEquity!

HealthEquity, Inc. is an equal opportunity employer, and we are committed to being an employer where no matter your background or identity - you feel welcome and included. We ensure equal opportunity for all applicants and employees without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, veteran status, or other legally protected characteristics. HealthEquity is a drug-free workplace. For more information about our EEO policy, or about HealthEquity's applicant disability accommodation, drug-free-workplace, background check, and E-Verify policies, please visit our Careers page.

HealthEquity uses Microsoft Copilot to transcribe screening interviews between candidates and their direct Talent Partner for note taking and interview summaries. By scheduling a screening interview with us, you consent to Microsoft Copilot's AI technology recording and transcribing your interview with your Talent Partner. This information will be reviewed for accuracy and then used by HealthEquity to summarize the interview, ensure accuracy, and facilitate our hiring process. We take privacy seriously. You have the option to opt out. If you wish to opt out of this Microsoft Copilot transcription, please notify your Talent Partner in advance of the interview. If we do not receive an opt-out request from you, we will assume that you consent to the use of Microsoft Copilot.

At HealthEquity, our goal is to save and improve lives by empowering healthcare consumers. This shared purpose inspires everything we do, including how we approach hiring. Our process is designed to get to know the real you: your skills, experiences, and potential to make a difference. We value honesty, originality, and the courage to do the right thing, even when it is not the easiest path. Showing up as your authentic self reflects these values and helps us build something truly remarkable together.

As AI is becoming a common tool throughout the application process, we want to be clear about its appropriate use at HealthEquity. Using AI to support resume writing, research, or interview preparation is perfectly acceptable, provided the content is accurate and genuinely represents your qualifications and skills. For other key parts of our interview process, however, it is important that the ideas, communication, and work you share reflect your own voice, experiences, and thinking. We ask that you participate in our live interviews and complete any assessments without AI assistance unless instructions explicitly indicate otherwise or a specific exception is discussed and approved in advance. This approach ensures fairness, celebrates your individuality, and allows your authentic perspective to shine. Behaviors that do not align with these guidelines may result in disqualification from the hiring process or termination of employment if later discovered. We appreciate your understanding and look forward to learning about the unique contributions only you can bring to HealthEquity.

HealthEquity is committed to your privacy as an applicant for employment. For information on our privacy policies and practices, please visit HealthEquity Privacy.