Jobs at Optum

Lead the architecture, design, and implementation of scalable data pipelines and enterprise data assets supporting healthcare rebate and Medicaid systems. Ensure data quality, governance, security, and CMS compliance while troubleshooting complex integration and performance issues. Collaborate with engineering, analytics, business, and leadership teams to translate requirements into technical solutions. Use cloud, big data, and approved AI technologies to improve productivity, mentor teams, and support evolving healthcare and financial applications.

Administer, architect, secure, and optimize PostgreSQL, MySQL, and Snowflake databases in Azure. Responsibilities include performance tuning, automation, access control, disaster recovery, documentation, and database solution design for healthcare applications. The role collaborates across Scrum teams, presents technical solutions, evaluates emerging technologies, uses approved AI tools, resolves complex database issues, and mentors junior engineers.

Design, develop, test, deploy, and support scalable Java microservices, cloud-native applications, event-driven systems, secure APIs, and AI-powered solutions. Build relational database solutions, messaging systems, and CI/CD pipelines while applying DDD and DevSecOps practices. Monitor system health, troubleshoot production issues, evaluate emerging technologies, and support cloud modernization. Collaborate in Agile teams, mentor junior engineers, and promote engineering excellence across mission-critical healthcare and PBM transaction platforms.

Develop and maintain scalable big data and cloud applications using Azure, Scala, Python, Spark, and AI/ML technologies. Design analytics rules engines, APIs, distributed systems, and machine learning prototypes. Collaborate with architecture, QA, and development teams; define requirements, support Agile delivery, conduct code reviews, document solutions, provide production support, and improve existing platforms.

Leads national sales strategy and execution for AI-enabled provider analytics and value-based care platforms. Builds executive relationships with health systems, develops high-performing sales teams, drives complex enterprise growth, and advises providers on population health, quality, risk, utilization, reimbursement, and financial performance. Partners cross-functionally on go-to-market strategy, commercialization, forecasting, and responsible AI adoption. Requires up to 75% national travel.

Evaluate and improve IBM i infrastructure reliability, availability, scalability, and serviceability. Consult with application and business teams, resolve complex system issues, define operational standards, lead infrastructure initiatives, and manage execution plans. The role also involves disaster recovery, high-availability environments, replication technologies, performance tuning, capacity planning, and using AI tools to automate workflows and improve operations.

Senior Data Engineer responsible for monitoring enterprise data pipelines, resolving production incidents, implementing data quality checks, automating operational workflows, and improving reliability across pharmacy data environments. The role also involves AI-enabled process optimization, data governance, documentation, technology evaluation, and operational best practices. Required experience includes data engineering, Azure cloud platforms, Scala or PySpark, SQL, Databricks, Airflow, Azure Data Factory, and production pipeline support.

Leads enterprise data warehouse, reporting, analytics, and transaction-processing architecture and modernization. Designs scalable on-premises and cloud solutions, modernizes ETL and SQL into Python automation, oversees BI delivery, and establishes DevOps and CI/CD practices. Provides hands-on technical leadership across development, testing, deployment, performance, security, and support. Leads proof-of-concepts, produces architecture documentation, presents recommendations, and mentors architects, engineers, developers, analysts, and testers.

Lead architecture and technical strategy for GenAI and Amazon Connect implementations. Translate business requirements into scalable conversational AI solutions, design integrations across CRM/WFM/data layers, validate development outputs, support testing/UAT, and promote reuse, security, and performance across cloud-based GenAI and digital routing systems.

The Account Executive will drive sales strategy, build relationships with referral sources, and educate the community on hospice services to increase market share.

Lead design and delivery of cloud-native Java/Spring adjudication services. Decompose legacy systems, build APIs, ensure observability, reliability, and security. Drive CI/CD, containerized deployments, AI-assisted engineering, cross-team coordination, documentation, and production support for high-volume transactional claim workflows.

Build and deploy AI-powered, LLM-based solutions in client environments. Implement integrations between models, APIs, and healthcare systems, write production-ready code, support testing and deployments, assist data preparation and prompt configuration, troubleshoot issues, and collaborate with cross-functional teams and clients to deliver scalable, secure solutions and enable knowledge transfer.

Partner with healthcare clients to design, prototype, and deploy production-grade AI/LLM solutions. Lead discovery, architecture, cloud integration, and delivery while troubleshooting distributed systems and driving measurable client outcomes.

Build and deploy AI-powered, LLM-based solutions in client environments: implement integrations, develop production-ready code, support cloud deployments, prepare data and prompts, troubleshoot, and collaborate with client and cross-functional teams while documenting and transferring knowledge to enable sustainable production adoption.

Partner with healthcare clients to discover, design, and deliver production-grade AI/LLM solutions. Architect cloud-native systems, build and deploy ML/LLM applications, prototype rapidly, troubleshoot distributed systems, and lead client engagements to drive measurable business outcomes while collaborating across product, platform, and engineering teams.