Implement responsible AI practices, including security, privacy, fairness, explainability, and governance requirements
Monitor production AI solutions, identify performance issues, and implement corrective actions
Document technical designs, architecture decisions, operating procedures, and best practices
Stay current on emerging AI technologies, frameworks, models, and engineering practices and recommend innovative solutions
Participate in code reviews, DevOps processes, CI/CD automation, and agile delivery ceremonies
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 regards 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
Graduate degree or equivalent experience
Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent practical experience)
3+ years of software engineering experience in Java, Python, JavaScript/TypeScript, or similar languages
2+ years of hands-on experience building AI, ML, Generative AI, or LLM-based applications
Experience with modern AI frameworks such as LangChain, Semantic Kernel, LangGraph, CrewAI, or equivalent
Experience integrating AI services from Azure OpenAI, OpenAI, Anthropic, Google Gemini, or similar platforms
Experience with REST APIs, microservices, cloud-native development, and container technologies
Knowledge of prompt engineering, RAG architecture, embeddings, vector databases, and AI evaluation techniques
Solid understanding of software engineering fundamentals, design patterns, testing, and secure coding practices
Experience using Git, GitHub, CI/CD pipelines, and DevOps practices
Proven solid analytical, troubleshooting, and problem-solving skills
Proven excellent verbal and written communication skills with the ability to explain technical concepts to non-technical stakeholders
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.
