Senior Software Engineering Lead

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:

Design and build AI-powered features using NLP/LLMs and Full stack for provider chat and voice workflows

Deliver end to end: data preparation, modeling/experimentation, evaluation, API integration, deployment, and monitoring in cloud environments

Implement responsible AI guardrails (content safety, PHI/PII controls, prompt hygiene, evaluation suites) and collaborate with governance/review partners

Develop and maintain web services and APIs that expose ML capabilities; write clear documentation and runbooks

Apply MLOps practices (CI for ML, model registry, reproducible experiments) and contribute to on call/operational support with mentorship

Collaborate with product, architecture, security, data, and platform teams to align with enterprise standards and deliver measurable outcomes

Continuously improve code quality, test coverage, latency, reliability, and cost per inference

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:

Undergraduate degree or equivalent experience

8+ years of total software engineering experience, including 2+ years hands on in AI/ML (e.g., NLP, GenAI, predictive modeling, or recommendations)

Experience building and integrating model backed APIs/services (Python/Node/Java) into production systems

Solid Python skills with one or more ML/DL frameworks (PyTorch/TensorFlow; familiarity with Hugging Face or LangChain is a plus)

Working knowledge of a major cloud (preferably AWS): containers/serverless, IAM basics, storage/networking fundamentals, logging/metrics

Understanding of security, access control, monitoring/alerting, and foundational resiliency/DR concepts for cloud applications

Solid software engineering practices: version control, code reviews, automated testing, and CI/CD

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.