[Remote] Sr Cloud Applications Engineer
Note: The job is a remote job and is open to candidates in USA. HealthEquity is committed to saving and improving lives by empowering healthcare consumers. The Sr Cloud Applications Engineer will be responsible for designing and building cloud-native applications and AI services on Microsoft Azure, ensuring secure and efficient AI solutions for the organization.
Responsibilities
- 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
Skills
- 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
- 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
- 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
Benefits
- Medical, dental, and vision
- HSA contribution and match
- Dependent care FSA match
- Paid parental leave
- 401(k) match
- Personal and healthcare financial literacy programs
- Ongoing education & tuition assistance
- Gym and fitness reimbursement
- Wellness program incentives
Company Overview
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