RPA Engineer

UnitedHealth Group•Eden Prairie, MN

21h•$72,800 - $130,000•Remote

About The Position

We are seeking a Software Engineer to join our Process Automation team, focused on designing and delivering intelligent automation solutions that drive operational efficiency across Optum's revenue cycle. In this role, you will work at the intersection of software engineering, robotic process automation (RPA), and apply AI translating complex business processes into scalable, maintainable automated workflows. You don't need to arrive with RPA expertise — we provide structured training on UiPath and our automation platform. What we're looking for is a strong engineering foundation, sharp analytical thinking, and communication skills to bridge business stakeholders and technical teams effectively. You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field
3+ years of hands-on software engineering experience in one or more languages (Python, Java, C#, JavaScript, or equivalent)
3+ years of experience writing clean, maintainable, and well-documented code
3+ years of experience working with APIs, data pipelines, or system integrations
Advanced level of proficiency with analytical and structured problem-solving skills — ability to decompose complex processes into logical components
Advanced level of proficiency in written and verbal communication skills — ability to articulate technical concepts to business audiences and business requirements to technical teams
Intermediate level of proficiency working collaboratively in cross-functional, Agile teams with a strong sense of ownership and collegiality
Intermediate level of proficiency learning new technologies quickly and applying them in a production environment

Nice To Haves

Hands-on experience with RPA platforms — UiPath strongly preferred; Automation Anywhere or Blue Prism also considered
UiPath Developer certification (Associate or Advanced) or demonstrated coursework/project experience
Exposure to AI/ML workflows, LLM integrations, or intelligent document processing (IDP)
Experience in healthcare, revenue cycle, or regulated enterprise environments
Familiarity with Azure cloud services, including Azure AI, Azure Functions, or Azure Data Factory
Experience with relational databases (SQL Server, Oracle, MySQL) and/or NoSQL platforms
Background in process improvement methodologies (Lean, Six Sigma, or similar)
Agile development experience and familiarity with tools such as Jira, Confluence, or Azure DevOps

Responsibilities

Design, build, and deploy RPA workflows using UiPath to automate revenue cycle and back-office business processes
Integrate AI and machine learning capabilities into automation pipelines to handle unstructured data, decision logic, and exception handling
Develop reusable automation components, frameworks, and libraries that accelerate delivery across the team
Apply software engineering best practices — version control, code review, unit testing, CI/CD — to automation assets
Collaborate with business stakeholders to understand end-to-end processes, document requirements, and identify automation opportunities
Translate ambiguous business requirements into structured technical specifications and automation designs
Perform process discovery and current-state analysis to evaluate feasibility, complexity, and ROI of automation candidates
Proactively identify edge cases, failure modes, and process risks before implementation
Serve as a bridge between business process owners and the engineering team — translating technical concepts for non-technical audiences and business context for technical teams
Communicate project status, risks, and tradeoffs clearly and proactively to team leaders and stakeholders
Participate actively in Agile ceremonies: sprint planning, standups, retrospectives, and backlog refinement
Collaborate closely with architects, senior developers, QA, and operations teams to deliver high-quality solutions
Contribute to documentation including process design documents, runbooks, and knowledge base articles
Stay current with emerging AI tooling, LLM integrations, and automation platform capabilities (UiPath, Azure AI, etc.)
Identify opportunities to enhance existing automations with AI-driven capabilities such as intelligent document processing, NLP, and predictive analytics
Participate in post-implementation reviews and incorporate lessons learned into future builds
Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities.
Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle