Senior Software Engineer

UnitedHealth Group•Basking Ridge, NJ

11h•$91,700 - $163,700•Remote

About The Position

Our Company 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. Position Summary As a Senior Software Engineer, you will lead the design, development, and deployment of enterprise-scale AI solutions and cloud-native platforms. Working within a high-performing software engineering team, you will drive the end-to-end lifecycle of cutting-edge agentic AI services, leveraging frameworks like Google ADK and MCP alongside modern cloud architectures (GCP/AWS). In this role, you will champion technical excellence, mentor team members, define AI engineering standards, and partner with product, architecture, security, and governance teams to build highly reliable, scalable, and responsible AI-powered capabilities. You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

6+ years of software development experience
3+ years of hands-on experience building, deploying, and maintaining applications in GCP or AWS
3+ years of experience in Python and Java
3+ years of experience with SQL/NoSQL databases
2+ years of experience with RESTful API development (FastAPI) and microservices architecture
1+ years of experience with containerization (Docker), Kubernetes orchestration
1+ experience utilizing AI development lifecycle (DLC) tools to optimize coding efficiency, test automation, and software delivery

Nice To Haves

Bachelor’s degree or higher in Computer Science, Software Engineering, or related technical field
Hands-on experience in AI/ML engineering or related technical field
Familiarity with ethical AI governance frameworks and privacy-enhancing technologies
2+ years of hands-on experience with AI agents or multi-agent systems (e.g., LLMs, prompt engineering, Google ADK, MCP, or agentic AI frameworks)
Demonstrated experience implementing testing patterns, automated testing frameworks, and continuous integration/continuous deployment (CI/CD) practices
Customer-focused and quality-driven mindset with proven technical leadership, strategic thinking, and communication skills

Responsibilities

Lead the design, architecture, development, and deployment of scalable, secure, cloud-native AI platforms and backend services
Own the end-to-end AI service lifecycle, including design, development, deployment, performance tuning, deep profiling, and production support
Define and enforce AI engineering standards, evaluation frameworks, reliability improvements, and observability practices across backend AI systems
Lead and mentor scrum team members to deliver AI solutions, fostering collaboration, accountability, and continuous technical improvement
Partner with product owners, architects, engineers, security, and business stakeholders to align on priorities, risk management, and on-time delivery
Communicate project status, risk assessments, and complex technical concepts clearly to both technical and non-technical audiences
Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible AI governance and compliance
Leverage enterprise-approved AI tools to optimize coding efficiency, automate workflows, streamline test automation, and drive continuous software delivery
Evaluate emerging AI trends, frameworks, and tools to inform solution design and drive strategic innovation