Senior Software Engineer I

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.

Primary Responsibilities:

• RPA Solution Delivery
  • Design, develop, and deploy end-to-end automation using UiPath and Power Automate (cloud & desktop flows)
  • Build robust workflows with error handling, retry logic, logging, and alerts
  • Integrate bots with APIs, databases, SharePoint, emails, and enterprise systems (ERP/CRM)
  • Conduct unit, integration, and UAT testing; manage production releases and post-deployment validation
• OCR & Intelligent Document Processing (IDP)
  • Lead OCR-based automation projects using Amazon Textract, ABBYY, Tesseract, and Document Intelligence Services (DIS)
  • Design pipelines for document classification, data extraction, validation, and enrichment
  • Implement template-free and layout-aware models for complex documents (invoices, forms, contracts)
  • Build quality gates (confidence thresholds, exception handling, human-in-the-loop reviews)
• AI/ML for Advanced Automation (secondary but valuable)
  • Develop IDP enhancements (e.g., post-OCR cleanup, entity recognition, fuzzy matching)
  • Build NLP/RAG pipelines for knowledge retrieval, email triage, and case routing
  • Use agentic frameworks (LangChain, LangGraph, AutoGen) for task orchestration and LLM-based automation when appropriate
  • Perform model monitoring, drift analysis, and bias/fairness checks for responsible AI
• Stakeholder Management & Discovery
  • Conduct process discovery workshops; translate business requirements into automation specs
  • Build solution design documents (SDD), PDDs, and risk assessments
  • Communicate status, risks, and ROI with business stakeholders and leadership
• Architecture, Integration & Governance
  • Define automation architecture, including orchestrators, queues, assets, credentials, and scaling strategy
  • Establish governance standards: coding conventions, peer reviews, version control, documentation
  • Ensure compliance with security, data privacy, and access control policies
• Operations & Reliability
  • Set up orchestration, scheduling, and observability (dashboards, logs, metrics)
  • Own incident response, root-cause analysis, and continuous improvement of bots
  • Optimize for performance, cost, and maintainability; reduce failure rates and manual interventions
• 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 regard 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
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
• 4+ years of experience in UiPath, Power Automate or other RPA tools, Data Science, AI/ML, or a similar role
• Experience in leading a team of data scientists
• Hands-on experience in delivering production-grade AI/ML projects
• Solid programming skills in Python, with experience in pandas, numpy, and SQL
• Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
• Solid understanding of mathematical and statistical concepts
• Knowledge of the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
• Understanding of bias/fairness testing and responsible use of AI/ML
• Proven excellent leadership, problem-solving, and analytical thinking skills
• Solid communication and collaboration skills to work effectively with business stakeholders and cross-functional teams

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.