Lead Software Engineer

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Lead Software Engineer (2391303)

Lead Software Engineer - 2391303

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, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities.

Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start

Caring. Connecting. Growing together.

As a Lead Software Engineer within Optum Technology, you will lead the design, development, and deployment of enterprise-grade AI and machine learning solutions that transform healthcare delivery. Working with cross-functional engineering, data science, and business teams, you will architect scalable MLOps pipelines, build cloud-native data workflows, and deploy cutting-edge Generative AI and retrieval-augmented generation (RAG) capabilities. This role offers an exciting opportunity to leverage innovative AI platforms, cloud architectures, and modern software practices to solve complex healthcare challenges and drive continuous engineering excellence.

You’ll enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.

• Lead the end-to-end design, development, deployment, and operationalization of production-grade AI-powered solutions and machine learning models to address complex business challenges with an emphasis on responsible AI use
• Build, architect, and support scalable cloud-based AI/ML systems, data pipelines, and feature workflows for both batch and real-time workloads using structured and unstructured data
• Establish and drive end-to-end MLOps practices, including data ingestion, feature engineering, model training, validation, automated monitoring, operational governance, and production troubleshooting
• Define architectural roadmaps, reference frameworks, and standard operating procedures (SOPs), ensuring solutions align with organizational standards for reliability, fairness, transparency, security, and cost efficiency
• Provide technical leadership, architectural guidance, and mentorship across cloud, AI/ML, and data engineering teams while driving engineering excellence and reducing technical debt
• Establish data governance practices and quality validation processes while ensuring compliance with security and privacy standards
• Partner with product management, data scientists, architects, and business stakeholders to translate strategic requirements into deliverable AI capabilities and communicate technical approaches to leadership
• Use enterprise-approved AI tools and evaluate emerging trends to streamline workflows, automate tasks, inform solution design, and drive continuous improvement within the software engineering lifecycle

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• 10+ years of experience in Software Engineering building high-quality, scalable applications
• 5+ years of experience with distributed computing framework like Spark with PySpark or Scala and high performance computing
• 5+ years of data engineering principles, relational and non-relational databases (SQL, No
  
  SQL or Vector databases)
• 4+ years of programming experience with Python
• 4+ years of…