Lead Software Engineer

UnitedHealth Group•Boston, MA

5h•$112,700 - $193,200•Remote

About The Position

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. Join the Avery Voice team at Optum Technology, where we are redefining patient experience through cutting-edge conversational AI. Our mission is to create sophisticated generative voice bots capable of understanding the nuances of a user's inquiry, providing immediate answers, and ensuring they are seamlessly routed to the most relevant support. You will work at the forefront of innovation, utilizing Amazon’s full suite of Bedrock tools and a variety of Large Language Models (LLMs) from providers like Amazon, OpenAI, and Anthropic. This is an opportunity to build and deploy intelligent agents that solve complex, real-world problems in the healthcare space. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

Bachelor's degree or equivalent experience
5+ years of programming and software development life-cycle experience
3+ years of experience in web service API development
3+ years of experience with Python development
2+ years of experience optimizing and evaluating production-level LLM applications
Proven ability to contribute independently with minimal supervision

Nice To Haves

Extensive experience setting and maintaining DevOps and CI/CD standards
Experience with cloud/distributed architecture design patterns

Responsibilities

Design, develop, and deploy AI-powered voice solutions to address complex business challenges with an emphasis on the responsible use of AI
Integrate and fine-tune various Large Language Models (LLMs) to enhance the intent recognition and conversational capabilities of voice bots
Architect and maintain scalable cloud-based services and APIs that support real-time voice interactions
Use enterprise-approved AI tools to streamline workflows, automate software development tasks, and drive continuous improvement within the engineering lifecycle
Collaborate with cross-functional teams to translate user requirements into technical specifications for generative AI agents
Evaluate emerging trends in conversational AI and LLM technologies to inform solution design and strategic innovation
Monitor and optimize the performance of voice bots to ensure high accuracy in query resolution and efficient routing
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI