The Role
Design, deploy, and maintain scalable machine learning and Generative AI solutions for healthcare and business use cases. Build predictive models, NLP, deep learning, LLM, RAG, vector search, data pipelines, and MLOps platforms. Optimize production AI systems for accuracy, performance, cost, security, and reliability while meeting governance and HIPAA requirements. Provide technical leadership, mentor engineers, evaluate emerging AI technologies, and collaborate with technical and business stakeholders.
Summary Generated by Built In
Requisition Number: 2374406
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:
Required Qualifications:
Preferred Qualifications:
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.
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, build, deploy, and maintain scalable machine learning and Generative AI solutions supporting clinical, pharmacy, payer, and operational use cases
- Develop predictive models, recommendation systems, NLP solutions, deep learning models, and LLM-based applications to solve complex business problems
- Build and optimize data pipelines, feature engineering workflows, and model training frameworks using large-scale healthcare and business datasets
- Design and implement Retrieval-Augmented Generation (RAG) architectures, vector search solutions, prompt engineering techniques, and LLM evaluation frameworks
- Fine-tune and deploy foundation models while ensuring reliability, scalability, security, and performance
- Implement MLOps and LLMOps best practices including CI/CD pipelines, automated testing, model deployment, experiment tracking, monitoring, and observability
- Collaborate with data scientists, product managers, architects, and business stakeholders to translate requirements into scalable AI solutions
- Ensure adherence to Responsible AI principles, data governance standards, HIPAA requirements, and enterprise security controls
- Analyze model performance and continuously improve model accuracy, latency, cost, and user experience through experimentation and optimization
- Provide technical leadership, mentor junior engineers, conduct code reviews, and contribute to engineering best practices and standards
- Evaluate emerging AI technologies and recommend innovative approaches that create measurable business value
- Support production AI systems through monitoring, issue resolution, root cause analysis, and continuous improvement efforts
- 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:
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
- 5+ years of professional software engineering, machine learning engineering, or AI development experience
- 3+ years of experience building and deploying machine learning solutions in production environments
- Hands-on experience with Generative AI technologies including Large Language Models (LLMs), embeddings, prompt engineering, RAG, and vector databases
- Experience developing cloud-native solutions utilizing AWS, Azure, or Google Cloud Platform
- Experience with containerization and orchestration technologies including Docker and Kubernetes
- Knowledge of MLOps practices including model deployment, monitoring, experiment tracking, and CI/CD automation
- Solid understanding of machine learning fundamentals including supervised learning, unsupervised learning, statistical modeling, and model evaluation
- Solid proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, Scikit-Learn, or equivalent
- Solid expertise in SQL, data modeling, and large-scale data processing technologies
- Proven ability to communicate complex technical concepts to both technical and non-technical audiences
Preferred Qualifications:
- Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related discipline
- Healthcare industry experience including claims, pharmacy, clinical, provider, payer, or consumer health domains
- Experience with healthcare interoperability standards such as HL7, FHIR, or EHR integrations
- Experience with Databricks, Snowflake, Apache Spark, Kafka, or lakehouse architectures
- Experience with MLflow, SageMaker, Azure ML, Vertex AI, or similar AI platform technologies
- Experience implementing AI governance, model risk management, and Responsible AI frameworks
- Knowledge of agentic AI architectures, multi-agent systems, workflow orchestration, and enterprise AI assistants
- Knowledge of vector databases such as Pinecone, FAISS, Weaviate, or pgvector
- Understanding of healthcare privacy, compliance, and security frameworks including HIPAA and HITRUST
- Familiarity with LangChain, LlamaIndex, Semantic Kernel, AutoGen, or equivalent AI development frameworks
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
- 5+ years of professional software engineering, machine learning engineering, or AI development experience
- 3+ years of experience building and deploying machine learning solutions in production environments
- Hands-on experience with Generative AI technologies, including LLMs, embeddings, prompt engineering, RAG, and vector databases
- Experience developing cloud-native solutions using AWS, Azure, or Google Cloud Platform
- Experience with Docker and Kubernetes
- Knowledge of MLOps practices, including model deployment, monitoring, experiment tracking, and CI/CD automation
- Understanding of supervised learning, unsupervised learning, statistical modeling, and model evaluation
- Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn
- Expertise in SQL, data modeling, and large-scale data processing technologies
- Ability to communicate complex technical concepts to technical and non-technical audiences
- Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related discipline
- Healthcare industry experience in claims, pharmacy, clinical, provider, payer, or consumer health domains
- Experience with HL7, FHIR, or EHR integrations
- Experience with Databricks, Snowflake, Apache Spark, Kafka, or lakehouse architectures
- Experience with MLflow, SageMaker, Azure ML, Vertex AI, or similar AI platform technologies
- Experience implementing AI governance, model risk management, and Responsible AI frameworks
- Knowledge of agentic AI architectures, multi-agent systems, workflow orchestration, and enterprise AI assistants
- Knowledge of Pinecone, FAISS, Weaviate, pgvector, or other vector databases
- Understanding of HIPAA and HITRUST healthcare privacy, compliance, and security frameworks
- Familiarity with LangChain, LlamaIndex, Semantic Kernel, AutoGen, or equivalent AI development frameworks
Optum Compensation & Benefits Highlights
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Parental & Family Support — Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
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Retirement Support — A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
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Equity Value & Accessibility — An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
