You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:- Lead architecture and delivery of ML/GenAI solutions (classification, forecasting, NLP, deep learning, LLM apps) at production scale
- Build robust data/feature pipelines over large clinical/claims datasets; write efficient, well-tested Python (pandas/NumPy) and SQL
- Develop and deploy LLM capabilities: prompt design, fine-tuning, RAG pipelines, vector indexing, and evaluation with guardrails
- Work closely with lead engineers to develop the best technical design and approach for new product development
- Collaborates closely with Business Analysts on developing requirements and may assist with estimating
- Instill best practices for software development and documentation, assure designs meet requirements, and deliver high-quality work on tight schedules
- Translate business requirements into technical solutions, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions
- Operational Excellence - build, deploy, monitor, and operation of production services
- Establish LLMOps best practices: CI/CD, model registry, experiment tracking, monitoring, drift detection, A/B testing, cost/perf optimization
- Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activities across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps
- These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. With every role in the company, each position has a requirement for building quality into every output
- This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways
- Reviews the work of others
- Develops innovative approaches
- Sought out as expert
- Serves as a leader/ mentor
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
RequiredQualifications:- Bachelor's degree in Computer Science or equivalent program
- 5+ years of Azure cloud experience
- 2+ years of AI experience
- 2+ years of AI experience, LLMs, embeddings, RAG, fine-tuning, evaluation
- Familiarity with Hugging Face and LangChain/LlamaIndex
Preferred Qualifications:- Strong foundation in machine learning, statistics, optimization, and probability
- Hands-on experience with:
- Classical ML, deep learning, and Generative AI models
- Model evaluation, validation, and performance tuning
- Proficiency in Python and modern AI libraries
- Experience with RAG frameworks, vector databases, LangChain / LangGraph-style orchestration
- Solid foundation in statistics and ML (hypothesis testing, experimental design, feature engineering, supervised/unsupervised methods)
- Experience building scalable, cloud-native AI systems (Azure)
- Strong software engineering practices: GitHub, code reviews, CI/CD
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
