The Role
Design, develop, and operationalize AI/ML, Generative AI, LLM, and agentic AI solutions. Build scalable batch, streaming, and cloud-native data pipelines using PySpark/Scala on Azure. Implement MLOps, CI/CD, model monitoring, RAG/vector search, and production-grade LLM applications. Collaborate with data science, architecture, and business teams, evaluate emerging AI tech, and produce prototypes, POCs, and documented deployments.
Summary Generated by Built In
Requisition Number: 2380610
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.
The Sr AI/ML Engineer (SG28) will design, develop, and operationalize AI/ML, Generative AI, LLM, and Agentic AI solutions that drive intelligent automation and business value. The role requires strong expertise in PySpark, Scala Spark, Azure Cloud, and modern AI/ML technologies to build scalable batch, streaming, and cloud-native data platforms.
The engineer will collaborate with data science, architecture, and business teams to deliver enterprise AI solutions, implement MLOps best practices, and ensure the reliability, scalability, and governance of AI applications. Additionally, they will contribute to AI strategy, data platform architecture, automation frameworks, and continuous innovation across the enterprise data ecosystem.
Primary Responsibilities:
Required Qualifications:
Preferred Qualification:
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.
The Sr AI/ML Engineer (SG28) will design, develop, and operationalize AI/ML, Generative AI, LLM, and Agentic AI solutions that drive intelligent automation and business value. The role requires strong expertise in PySpark, Scala Spark, Azure Cloud, and modern AI/ML technologies to build scalable batch, streaming, and cloud-native data platforms.
The engineer will collaborate with data science, architecture, and business teams to deliver enterprise AI solutions, implement MLOps best practices, and ensure the reliability, scalability, and governance of AI applications. Additionally, they will contribute to AI strategy, data platform architecture, automation frameworks, and continuous innovation across the enterprise data ecosystem.
Primary Responsibilities:
- Partner with Data Science and AI/ML teams to design, develop, and deploy machine learning, Generative AI, and Agentic AI solutions that drive predictive analytics, automation, and business value
- Build and operationalize LLM-powered applications, including RAG frameworks, AI agents, prompt engineering, orchestration workflows, and contextual data enrichment
- Deploy, monitor, and govern AI/ML models using Azure ML, Databricks ML, Azure AI Search, and modern MLOps practices
- Integrate AI/ML and LLM capabilities into enterprise data platforms, ensuring scalability, security, compliance, and responsible AI practices
- Design and develop scalable AI-enabled data pipelines using PySpark, Scala Spark, and Azure Cloud technologies
- Collaborate with architecture, data engineering, and business teams to translate business requirements into production-ready AI solutions
- Develop and optimize RAG, vector search, semantic retrieval, and knowledge management frameworks for enterprise AI applications
- Build and maintain batch, streaming, and real-time AI data processing pipelines leveraging Azure Event Hub and Spark Structured Streaming
- Implement CI/CD and MLOps automation using GitHub Actions, Jenkins, Docker, Kubernetes, and Azure DevOps
- Evaluate emerging AI technologies, frameworks, and tools to drive innovation and continuous improvement
- Develop prototypes, proof-of-concepts (POCs), and production-grade AI applications while participating in architecture, design, and code reviews
- Create technical documentation and provide support for AI/ML application deployments, monitoring, and incident resolution
- Expertise in Snowflake with optimizing stored procedures
- Builder Responsibilities:
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
- 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 or Master's degree in Computer Science, Information Technology, or equivalent
- 10+ years of professional experience in AI/ML engineering, including machine learning, Generative AI, LLM-based applications, Agentic AI frameworks, and Big data platform development Understanding of Model Context Protocol (MCP) and AI tool integration patterns
- Experience building large-scale batch and streaming data processing systems
- Experience working in cloud environments, preferably Microsoft Azure
- Experience with Shell scripting for automation and operational support
- Experience developing, training, fine-tuning, and deploying AI/ML models using frameworks such as scikit-learn, TensorFlow, PyTorch, and Generative AI/LLM ecosystems
- Experience building and managing CI/CD pipelines using Jenkins, GitHub Actions, and Git-based workflows
- Experience working in Agile development environments
- Solid hands-on experience with Python and Scala
- Hands-on experience with Docker, Kubernetes, and modern DevOps practices
- Hands-on experience with Snowflake and solid expertise in SQL and PL/SQL
- Hands-on exposure to LLMs (e.g., OpenAI GPT, Azure OpenAI), including prompt design, fine-tuning concepts, and secure workflow integration
- Expertise on REST APIs and FAST API
- Expertise in Apache Spark and solid understanding of Hadoop ecosystem concepts
- Familiarity with Azure AI Search for building and deploying conversational AI solutions is a solid plus. Solid understanding of MLOps practices, including automated model training, deployment, monitoring, drift detection, and retraining pipelines
- Understanding of the ML model lifecycle, including training, evaluation, deployment, and monitoring
- Proven solid collaboration skills with cross-functional teams and stakeholders
- Proven ability to analyze complex problems and deliver solution-focused outcomes
Preferred Qualification:
- Good understanding of US healthcare domai
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 or Master's degree in Computer Science, Information Technology, or equivalent
- 10+ years professional experience in AI/ML engineering including Generative AI, LLM-based applications, Agentic AI frameworks, and big data platform development
- Understanding of Model Context Protocol (MCP) and AI tool integration patterns
- Experience building large-scale batch and streaming data processing systems
- Experience working in cloud environments, preferably Microsoft Azure
- Shell scripting for automation and operational support
- Experience developing, training, fine-tuning, and deploying models using scikit-learn, TensorFlow, and PyTorch
- Experience building and managing CI/CD pipelines using Jenkins, GitHub Actions, and Git-based workflows
- Experience working in Agile development environments
- Solid hands-on experience with Python and Scala
- Hands-on experience with Docker and Kubernetes and modern DevOps practices
- Hands-on experience with Snowflake and strong expertise in SQL and PL/SQL
- Hands-on exposure to LLMs (e.g., OpenAI GPT, Azure OpenAI), including prompt design, fine-tuning concepts, and secure workflow integration
- Expertise on REST APIs and FastAPI
- Expertise in Apache Spark and understanding of Hadoop ecosystem concepts
- Solid understanding of MLOps practices including automated training, deployment, monitoring, drift detection, and retraining
- Understanding of ML model lifecycle: training, evaluation, deployment, and monitoring
- Proven collaboration skills with cross-functional teams and stakeholders
- Proven ability to analyze complex problems and deliver solution-focused outcomes
- Familiarity with Azure AI Search for building and deploying conversational AI solutions
- Good understanding of US healthcare domain
Optum Compensation & Benefits Highlights
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Healthcare Strength — Official materials highlight copay and HSA medical plan choices with in‑network preventive care at 100%, prescription coverage, and low/no‑cost virtual visits, plus company HSA contributions. Dental preventive services are 100% in network, and mental health resources include an EAP and premium Calm access.
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Parental & Family Support — Programs include six weeks paid parental leave, up to two weeks paid caregiver leave, and Bright Horizons back‑up care with enhanced family supports. Adoption assistance up to $10,000 for full‑time employees reinforces family‑oriented benefits.
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Equity Value & Accessibility — Financial benefits include an Employee Stock Purchase Plan at a 10% discount, expanding access to equity ownership.
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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
