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.

Senior AI or ML Engineer