The Role
Leads the strategy, development, and delivery of AI, machine learning, and generative AI solutions across healthcare domains. Responsibilities include designing scalable software, integrating LLMs and agentic AI, maintaining code quality and production operations, collaborating with stakeholders, mentoring engineers, and leading AI/ML teams. The role requires expertise in modern ML frameworks, cloud platforms, DevOps, CI/CD, NLP, model evaluation, prompt engineering, and production-grade AI applications.
Summary Generated by Built In
Requisition Number: 2384470
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 drug-free workplace. © 2026 Optum Global Solutions (Philippines) Inc. All rights reserved.
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
- 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.
Skills Required
- Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline
- 14+ years of experience in Software Engineering, Data Science, or Analytics
- 8+ years of experience in AI/ML engineering or related fields
- 3 years focused on Generative AI technologies, including OpenAI, Claude, Gemini, LangChain, agents, RAG, vector databases, prompt engineering, and fine-tuning
- Hands-on experience developing AI and machine learning solutions
- Experience with MLflow, TensorFlow, PyTorch, Keras, and Scikit-learn
- Experience with AWS, Azure, and GCP
- Experience with Git, Jenkins, Docker, Kubernetes, DevOps, and CI/CD practices
- Experience leading and managing AI/ML teams and projects from ideation through delivery and evaluation
- Experience with agentic AI, deep learning, model evaluation, NLP, machine learning, prompt engineering, MCP, application analytics, LLM integrations, and Amazon Lex bot development
- Experience with Python, Pandas, Matplotlib, ggplot2, and TypeScript/Node.js
- Expertise in modern software engineering, AI/ML, generative AI, Agile methodologies, DevSecOps, and full SDLC automation
- Excellent communication, presentation, interpersonal, analytical, problem-solving, and decision-making skills
- Passion for learning and staying current with AI/ML trends and research
- PhD in AI/ML, Engineering, Mathematics, Statistics, or a related discipline
- Experience with cross-functional and distributed teams in a global environment
- Experience mentoring, coaching, and developing AI/ML talent
- Experience establishing and enforcing AI/ML best practices, standards, and ethics
- Experience realizing value from AI/ML products and delivering production-ready products
- Healthcare AI experience
- History of delivering high-impact AI/ML solutions for real-world problems
- Portfolio of AI/ML publications, patents, or awards
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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
