Senior Software Engineer - RPA and Agentic AI

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

UiPath Agentic Automation Developer/Engineer will design, build, and deploy intelligent, autonomous automation solutions using UiPath Studio, AI Center, and LLM-based technologies. This role merges traditional Robotic Process Automation (RPA) with cognitive AI, creating agents that make decisions, handle unstructured data, and manage dynamic workflows. The engineer will specifically focus on automating Revenue Cycle Management workflows to deliver significant value to Optum and it's clients from cost savings and revenue lift.

Primary Responsibilities:

• Agentic Development: Design, develop, and deploy AI-driven agents that can think and act autonomously within the UiPath ecosystem
• Analyze and understand business workflows to recommend process improvements and determine where agentic automation (LLMs, AI-driven agents) is best suited.
  AI Integration: Integrate LLMs, GenAI models, and AI Center components to enhance automation intelligence
• Solution Design: Collaborate with stakeholders to map processes and develop intelligent workflows (e.g., using Document Understanding, Action Center)
• Technical Optimization: Ensure scalability, security, and high performance of automation workflows
• Monitor, troubleshoot, and resolve issues in robotic or agentic workflows, ensuring minimal downtime and efficient execution
• Work with product teams, architects, business SMEs, data teams, and partner solution teams to ensure cohesive automation delivery
• Provide architectural recommendations for agentic workflows and contribute to automation governance and best practices
• Work closely with UiPath platform teams to enhance capabilities and integrate new technologies into the automation ecosystem
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Graduate degree or equivalent experience
• 5+ years of hands on experience in RPA (UiPath), software development, or automation engineering
• Experience integrating Document Understanding, ML models, OCR engines, and GenAI components
• Experience with prompt engineering, context grounding methodologies, LLM powered workflows
• Solid experience across SDLC, Agile practices, and UAT/change management
• Expertise in UiPath Studio, Orchestrator, REFramework, and automation lifecycle management
• Solid understanding of Agentic Automation concepts (autonomous agents, dynamic workflows, intelligent decision making)
• Solid proficiency in VB.NET/C#, Python, or other object oriented/scripting languages
• Demonstrated ability to design and implement API integrations and work with REST/JSON data exchanges
• Proven excellent analytical, problem solving, communication, and stakeholder interaction skills

Preferred Qualifications:

• Healthcare operations process experience
• UiPath Proficiency: Deep knowledge of UiPath Studio, Orchestrator, and AI Center

Key Focus Areas

• Agents vs. Robots: Moving beyond static rules ('robots do') to dynamic, decision-making systems ('agents think').
• Efficiency: Streamlining operations through intelligent, self-correcting workflows