The Role
Lead enterprise-scale AI/ML and mathematical optimization initiatives from business problem definition through production deployment. Design hybrid machine learning and optimization solutions using frameworks such as Pyomo, OR-Tools, Gurobi, CPLEX, PyTorch, and TensorFlow. Develop proof-of-concepts, decision systems, MLOps workflows, and production-ready architectures while collaborating with engineering, product, business, and leadership teams. Preferred expertise includes quantum optimization, reinforcement learning, generative AI, healthcare analytics, data platforms, and responsible AI.
Summary Generated by Built In
Requisition Number: 2391432
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 Responsibility:
Required Qualifications:
Preferred Qualifications:
Technical Skills:
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 Responsibility:
- 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, Mathematics, Engineering, Operations Research, Applied Mathematics, or related field
- 10+ years of experience in applied AI/ML or optimization-focused roles, with solid ownership of enterprise-scale AI and optimization initiatives
- Proven experience translating business challenges into effective optimization and AI/ML solution strategies and production-ready solution architectures
- Hands-on experience with optimization frameworks, including Pyomo, OR-Tools, Gurobi, and/or CPLEX
- Hands-on experience with ML/DL frameworks: PyTorch and/or TensorFlow
- Experience with combinatorial optimization and large-scale decision systems
- Demonstrated experience with hybrid ML and optimization approaches
- Solid foundation in:
- Mathematical optimization, operations research, and statistics
- Machine learning, deep learning, and experimental design
- Demonstrated experience designing, developing, validating, and delivering successful optimization and AI proof-of-concepts that progressed into large-scale production environments
- Familiarity with quantum computing concepts or quantum-inspired algorithms for optimization
- Familiarity with MLOps practices including experiment tracking, benchmarking, model versioning, and deployment automation
- Proven ability to translate theoretical models into impactful, real-world solutions
- Proven ability to collaborate effectively with engineering organizations to enable successful production adoption of AI and optimization solutions
- Proven ability to collaborate effectively across business, product, engineering, and leadership teams
- Proven solid programming skills in Python (NumPy, pandas, scientific computing) and SQL
- Proven solid analytical, problem-solving, communication, solution design, and stakeholder management skills
Preferred Qualifications:
- MS/PhD
- Experience with quantum frameworks such as Qiskit, Cirq, D-Wave, or Azure Quantum
- Experience with reinforcement learning for decision optimization
- Experience with simulation-based optimization and digital twins
- Experience integrating optimization into production systems in collaboration with engineering teams
- Experience building enterprise-scale Generative AI solutions integrated with optimization pipelines
- Experience mentoring teams and driving AI capability development across organizations
- Experience with Big data platforms (Databricks, Snowflake, BigQuery) and streaming (Kafka); lakehouse patterns
- Experience with MLOps stack: MLflow, SageMaker, Azure ML, or Vertex AI; model monitoring, observability, automated retraining, and deployment automation
- Experience with Publications or patents in optimization, ML, or quantum computing; contributions to internal frameworks, accelerators, or enterprise AI innovation initiatives
- Healthcare domain expertise including claims, EHR/HL7/FHIR, care pathways, resource planning, ICD/CPT coding, risk adjustment, quality measures, and de-identification
- Knowledge of Responsible AI in constrained decision-making systems
- Knowledge of security and compliance frameworks (SOC 2, HITRUST, HIPAA)
Technical Skills:
- Optimization - Mathematical Optimization, Linear/Non-linear Programming, Integer and Combinatorial Optimisation, Stochastic Optimization, Robust Optimization, Operations Research, Large-Scale Decision Systems
- Optimization Frameworks - Pyomo, OR-Tools, Gurobi, CPLEX
- Quantum and Quantum-Inspired - Quantum Optimisation, QAOA, Quantum Annealing, Hybrid Quantum-Classical Algorithms, Qiskit, Cirq, D-Wave, Azure Quantum
- AI/ML and Analytics - Machine Learning, Deep Learning, Statistical Modelling, Predictive Analytics, Prescriptive Analytics, Experimental Design
- Hybrid ML + Optimisation - Decision-Focused Learning, Reinforcement Learning, Constrained Optimisation, Simulation-Based Optimisation, Digital Twins
- Generative and Agentic AI - Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, Retrieval Optimisation, Constrained Generation
- AI Frameworks - PyTorch, TensorFlow
- Programming and Data Engineering - Python (NumPy, pandas, SciPy), SQL, Feature Engineering, Data Pipelines, Model Evaluation, Experimentation Frameworks
- MLOps and Model Lifecycle - MLOps, MLflow, Kubeflow, CI/CD, Model Monitoring, Observability, Drift Detection, Model Registry, Deployment Automation
- Data Platforms - Databricks, Snowflake, BigQuery, Kafka, Lakehouse Architectures
- Responsible AI and Governance - Responsible AI, Explainability, Fairness Constraints, AI Governance, Risk Management, SOC 2, HITRUST, HIPAA
- Healthcare Analytics - Healthcare Analytics, Claims, Clinical Data, EHR/HL7/FHIR, ICD/CPT, Risk Adjustment, Population Health, Care Management
- Research and Innovation - Operations Research, Quantum Computing, White Papers, Patents, Internal Frameworks, Innovation Leadership
- Leadership and Strategy - Technical Leadership, AI Strategy, Optimisation Strategy, Innovation, Stakeholder Management, Mentoring, Cross-Functional Collaboration
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, Mathematics, Engineering, Operations Research, Applied Mathematics, or a related field
- 10+ years of experience in applied AI/ML or optimization-focused roles
- Experience owning enterprise-scale AI and optimization initiatives
- Experience translating business challenges into AI/ML and optimization strategies and production-ready architectures
- Hands-on experience with optimization frameworks such as Pyomo, OR-Tools, Gurobi, or CPLEX
- Hands-on experience with PyTorch and/or TensorFlow
- Experience with combinatorial optimization and large-scale decision systems
- Experience developing hybrid machine learning and optimization approaches
- Knowledge of mathematical optimization, operations research, statistics, machine learning, deep learning, and experimental design
- Experience designing, validating, and delivering AI or optimization proof-of-concepts into production
- Familiarity with quantum computing concepts or quantum-inspired optimization algorithms
- Familiarity with MLOps practices, experiment tracking, benchmarking, model versioning, and deployment automation
- Strong programming skills in Python, including NumPy, pandas, and scientific computing
- Strong SQL skills
- Strong analytical, problem-solving, communication, solution design, and stakeholder management skills
- Master's or PhD degree
- Experience with Qiskit, Cirq, D-Wave, or Azure Quantum
- Experience with reinforcement learning, simulation-based optimization, or digital twins
- Experience building generative AI solutions integrated with optimization pipelines
- Experience with Databricks, Snowflake, BigQuery, Kafka, or lakehouse architectures
- Experience with MLflow, SageMaker, Azure ML, Vertex AI, model monitoring, observability, automated retraining, or deployment automation
- Healthcare domain expertise involving claims, EHR/HL7/FHIR, care pathways, resource planning, ICD/CPT coding, risk adjustment, quality measures, or de-identification
- Knowledge of responsible AI, security, and compliance frameworks including SOC 2, HITRUST, or HIPAA
- Publications, patents, internal frameworks, or innovation contributions in optimization, machine learning, or quantum computing
- Experience mentoring teams and driving AI capability development
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO is generally described as decent or good, and many note it as a strong part of the package. Actual ability to take time off can depend on workload and team coverage.
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Retirement Support — Offerings include a 401(k) with employer match and access to an employee stock purchase plan, which are highlighted as meaningful components of total rewards. These programs are consistently referenced among core benefits.
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Parental & Family Support — Parental and caregiver leave, along with adoption assistance, are publicly highlighted and viewed as notable elements of the package. Availability can be role-specific, but these supports contribute to overall breadth where offered.
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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
