Question
Full-time
10+

Senior AI or ML Engineer

4/27/2026

Develop and implement AI and machine learning strategies across healthcare domains while collaborating with cross-functional teams to drive initiatives. Provide leadership to professional staff and ensure the integrity of code design, implementation, and operational performance.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

No

About The Company
UnitedHealth Group is a health care and well-being company with a mission to help people live healthier lives and help make the health system work better for everyone. We are 340,000 colleagues in two distinct and complementary businesses working to help build a modern, high-performing health system through improved access, affordability, outcomes and experiences. Optum delivers care aided by technology and data, empowering people, partners and providers with the guidance and tools they need to achieve better health. UnitedHealthcare offers a full range of health benefits, enabling affordable coverage, simplifying the health care experience and delivering access to high-quality care. We work with governments, employers, partners and providers to care for 147 million people and share a vision of a value-based system of care that provides compassionate and equitable care. At UnitedHealth Group, our mission calls us, our values guide us and our diverse culture connects us as we seek to improve care for the consumers we are privileged to serve and their communities. Click below to search careers or join our social communities: • Search & apply for careers at careers.unitedhealthgroup.com/ • Follow us on Twitter at twitter.com/UnitedHealthGrp • Follow and like us on Facebook at facebook.com/unitedhealthgroup • Follow us on Instagram at instagram.com/unitedhealthgroup More about UnitedHealth Group can be found at unitedhealthgroup.com/
About the Role

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:

  • Develop and implement AI and machine learning strategies across several healthcare domains
  • Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives
  • Develop and maintain solid relationships with stakeholders, customers, and partners internally and externally
  • Represent Consumer Engineering work and teams across Optum global leadership
  • Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations
  • Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/Generative AI where applicable
  • Create technical specifications and write high-quality, scalable, supportable code; review code of other engineers and mentor them to ensure all quality KPIs are met or exceeded
  • Demonstrate collaborative skills to work effectively with diverse teams
  • Serve as a role model by leveraging these techniques to optimize solutioning and product delivery
  • Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery
  • Provide leadership and be accountable for the performance of managers and/or senior-level professional staff
  • Drive impact at the operational, local business unit, or market level
  • 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:

  • Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline
  • 14+ years of experience in Software Engineering, Data Science, or Analytics, with 8+ years in AI/ML engineering or related fields and the last 3 years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
  • Hands-on experience in AI and driving the development of innovative AI and machine learning solutions
  • Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn
  • Experience with cloud platforms such as AWS, Azure, and GCP
  • Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes
  • Demonstrated experience leading and managing AI/ML teams and projects from ideation to delivery and evaluation
  • Experience in the following:
    • Agentic AI
    • Deep Learning
    • Model Evaluation Techniques
    • Natural Language Processing (NLP)
    • Python and data manipulation libraries like Pandas, Matplotlib, ggplot2
    • Machine Learning
    • Prompt engineering for BOT integration with LLMs
    • Working with MCP
    • Application Analytics
    • Cloud (AWS Services, Machine Learning and AI services)
    • LLM integrations
    • Python
    • Type Script/NodeJs
    • Security Best Practices
    • Amazon Lex BOT Development
  • Deep expertise in modern software engineering practices including AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production across the full SDLC lifecycle
  • Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts to both technical and non-technical audiences
  • Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism
  • Proven passion for learning and staying updated with the latest AI/ML trends and research


Preferred Qualifications:

  • PhD in AI / ML, Engineering, Mathematics, Statistics, or a related discipline
  • Experience working with cross-functional and distributed teams in a global and diverse environment
  • Experience in mentoring, coaching, and developing AI/ML talent
  • Experience in establishing and enforcing AI/ML best practices, standards, and ethics
  • Experience in Realizing Value from AI/ML products as well as production ready product
  • Proven background in healthcare (AI)
  • Proven history of delivering high-impact AI/ML solutions for real-world problems and use cases
  • Proven portfolio of AI/ML publications, patents, or awards


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 drug-free workplace. © 2026 Optum Global Solutions (Philippines) Inc. All rights reserved.

Key Skills
Artificial IntelligenceMachine LearningGenerative AIPythonAWSAzureGCPTensorFlowPyTorchLangChainRAGVector DatabasesPrompt EngineeringDevOpsKubernetesNatural Language Processing
Categories
TechnologyHealthcareData & AnalyticsSoftwareManagement & Leadership
Benefits
Comprehensive benefitsCareer development opportunities
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