19 Senior AI Ml Engineer jobs in UnitedHealth Group

**Requisition number:**
**Job category:** Technology
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.**
We are seeking a Senior AI Engineer who will operate as an individual contributor while demonstrating leadership capabilities in driving AI initiatives. The ideal candidate will have deep expertise in machine learning (ML), deep learning (DL), and deploying solutions on Google Cloud Platform (GCP). Experience with Dialogflow CX and/or Google GECX, Vertex AI, Python, LLMs, Agentic AI systems, and Google's AI Development Kit (ADK) is essential. A solid GitHub presence showcasing real-world projects is highly valued. Knowledge in LiveKit platform is valued.
**Primary Responsibilities:**
+ Design, develop, and deploy ML/DL models using Vertex AI, Python, and GCP-native tools
+ Build and optimize conversational AI agents using Dialogflow CX, integrating with APIs and backend systems
+ Develop and fine-tune Large Language Models (LLMs) for various NLP tasks, including summarization, classification, and question answering
+ Implement Agentic AI systems that can autonomously plan, reason, and execute tasks using LLMs and orchestration frameworks
+ Leverage Google ADK to build, test, and deploy scalable AI applications aligned with GCP best practices
+ Integrate and experiment with Agentic AI frameworks to enhance autonomous decision-making and task execution capabilities
+ Lead by example in technical design, code quality, and solution architecture, mentoring junior engineers informally
+ Collaborate cross-functionally with engineering and product teams to translate business needs into scalable AI solutions
+ Maintain and showcase code and projects on GitHub, ensuring reproducibility and collaboration
+ Monitor model performance, conduct A/B testing, and iterate based on feedback and metrics
+ Automate ML workflows using CI/CD pipelines, Docker, Kubernetes, and MLOps best practices
+ 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:**
+ BTECH/BE
+ Experience in Google Dialogflow,GECX,Vertex AI
+ Building AI solutions in Conversational AI
+ Livekit knowledge
_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._

**Requisition number:**
**Job category:** Technology
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:**
+ Applied research in LLMs, generative AI, and multimodal models
+ Evaluate and experiment with state-of-the-art architectures (e.g., Transformers, Diffusion Models, Retrieval-Augmented Generation)
+ Publish internal whitepapers and contribute to external conferences where applicable
+ Engineering and Implementation
+ Design and implement scalable AIML pipelines using frameworks like PyTorch, TensorFlow, Hugging Face, and MLflow
+ Collaborate with engineering teams to deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring)
+ Tooling and Infrastructure
+ Evaluate and integrate advanced AIML tools such as GitHub Copilot, Windsurf, Vertex AI, Azure OpenAI, and Hugging Face Transformers
+ Work with cloud platforms (AWS, Azure, GCP) to ensure scalable and secure model deployment
+ Architecture and Strategy
+ Architect end-to-end AIML systems including data ingestion, model training, inference, and feedback loopsPartner with enterprise architects and product leaders to align AIML capabilities with business goals 3
+ Mentorship and Collaboration
+ Mentor junior engineers and researchers
+ Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders
+ 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 Relevant in Computer Science, Machine Learning, or related field
+ 8+ years of experience in AIML engineering and research
+ Experience with experiment tracking tools (e.g. Weights & Biases, MLflow)
+ Hands-on experience with MLOps, model deployment, and monitoring
+ Proven expertise in LLMs, generative AI, and deep learning
+ Familiarity with AIML governance, ethics, and responsible AI practices
+ Proven solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)
_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._

**Requisition number:**
**Job category:** Technology
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:**
+ Lead design and delivery of scalable AI/ML solutions from data to production
+ Develop, train, evaluate, and optimize advanced machine learning models
+ Productionize models using MLOps best practices, CI/CD, and monitoring
+ Collaborate with data, product, and engineering teams to solve business problems
+ Mentor engineers, review code, and drive ML standards and best practices
+ Stay current with AI/ML advancements and ensure responsible, ethical AI usage
+ Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.
+ 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 regard 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, AI, ML, Data Science, or a related field
+ 8+ years of hands on experience in machine learning, data science, or AI engineering
+ Experience deploying models to production environments with MLOps practices
+ Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes preferred)
+ Solid expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit learn)
+ Solid understanding of ML algorithms, deep learning, NLP, or computer vision
+ Proficiency in data processing, feature engineering, and model evaluation
+ Knowledge of CI/CD, model monitoring, and performance optimization
+ Proven solid problem solving, communication, and collaboration skills
+ Proven ability to mentor engineers and work cross functionally with product and data teams
_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._
\#NIC #NJP

**Requisition number:**
**Job category:** Technology
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:**
+ 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:**
+ 7+ years of experience leading end-to-end Machine Learning (ML) and Deep Learning (DL) initiatives, from problem definition to production deployment
+ Practical experience working with Large Language Models (LLMs) for text processing and conversational AI solutions
+ Hands-on expertise with modern deep learning frameworks including TensorFlow and PyTorch
+ Familiarity with Retrieval-Augmented Generation (RAG) architectures and AI agent-based systems
+ Solid understanding of data preprocessing, feature engineering, and robust model evaluation techniques
+ Solid proficiency in Python, with hands-on experience in libraries such as Pandas, NumPy, and Scikit-learn
+ Proven ability to design, build, tune, and deploy scalable ML models in production environments
+ Proven solid analytical, problem-solving, and communication skills with the ability to collaborate across cross-functional teams
**Preferred Qualification:**
+ Experience working with major cloud platforms such as AWS, GCP, or Azure
_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._

**Requisition number:**
**Job category:** Technology
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.**
We're looking for a hands-on Senior AI/ML Engineer to design, build, deploy, and scale enterprise AI solutions from experimentation through production. This role is focused on operationalizing AI through a robust AI Development Lifecycle (AIDLC), ensuring that AI/ML, Generative AI, and Agentic AI solutions are engineered for reliability, scalability, performance, and business impact.
You will work closely with data scientists, applied scientists, platform engineers, and business stakeholders to transform validated AI concepts into secure, production-ready systems. The ideal candidate combines strong software engineering fundamentals with expertise in AI/ML platforms, MLOps/LLMOps practices, cloud-native architectures, and enterprise-scale AI deployment.
**Primary Responsibilities:**
+ Design, develop, and deploy end-to-end AI/ML solutions following AI Development Lifecycle (AIDLC) best practices
+ Build production-grade AI systems including:
+ Data ingestion and processing pipelines
+ Feature engineering pipelines
+ Model training and evaluation workflows
+ Model deployment and monitoring solutions
+ Develop scalable AI services and applications using:
+ APIs and microservices
+ Batch and real-time processing architectures
+ Cloud-native deployment patterns
+ Build and maintain reliable, secure, and high-performance AI platforms capable of supporting enterprise-scale workloads
+ Implement MLOps and LLMOps best practices, including:
+ CI/CD automation
+ Model lifecycle management
+ Experiment tracking
+ Automated testing and validation
+ Continuous monitoring and observability
+ Develop reusable engineering frameworks, templates, and automation components that accelerate AI solution delivery
+ Build and operationalize Generative AI solutions leveraging:
+ Large Language Models (LLMs)
+ Retrieval-Augmented Generation (RAG)
+ Prompt orchestration pipelines
+ Semantic search and retrieval systems
+ Integrate LLM and GenAI capabilities into enterprise applications and business workflows
+ Support development and deployment of Agentic AI workflows, including:
+ Multi-step task orchestration
+ Tool and API integrations
+ Human-in-the-loop workflows
+ Ensure data readiness, quality, and pipeline reliability across AI use cases
+ Partner with data engineering teams to integrate AI workloads with enterprise data platforms and governance standards
+ Optimize AI systems for scalability, performance, reliability, and cost efficiency through:
+ Token optimization
+ Prompt optimization
+ Caching strategies
+ Infrastructure utilization improvements
+ Implement software engineering best practices including:
+ Code quality standards
+ Automated testing
+ Code reviews
+ Documentation
+ Observability and monitoring
+ Design and implement scalable architecture patterns that support enterprise AI adoption
+ Collaborate with cross-functional teams across AI, engineering, product, platform, and business functions to deliver production-ready AI capabilities
+ Measure and continuously improve solution effectiveness through operational metrics, performance monitoring, and business outcomes
+ Comply with organizational policies, security standards, governance requirements, and Responsible AI principles
+ 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
**Technical Skills**
+ Programming: Python, SQL
+ AI/ML: ML models, deep learning (PyTorch / TensorFlow)
+ Generative AI: LLMs, RAG, prompt engineering, vector databases
+ Agentic AI: Multi-agent frameworks, orchestration, tool integration
+ Data Handling: Feature engineering, data pipelines, experimentation
+ Cloud Platforms: Azure / AWS / GCP
+ Optimization: Token usage, model selection, cost-performance tuning
+ Tools: Experimentation frameworks, AI toolchains, prototyping platforms
**Scientist** **Responsibilities** _: (manager discretion if AI responsibilities are already present in JD):_
Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.
**Required Qualifications:**
+ Bachelor's degree in computer science, Engineering, Data Science, Artificial Intelligence, Mathematics, or related field; master's degree preferred
+ 12+ years of experience designing, building, and deploying enterprise AI/ML solutions
+ Hands-on experience building and operationalizing machine learning models and AI systems
+ Solid programming experience in Python and SQL
+ Experience delivering production-grade AI applications and services at enterprise scale
+ Experience implementing MLOps and LLMOps practices, including CI/CD, deployment automation, model monitoring, and lifecycle management
+ Experience with Generative AI technologies including:
+ Large Language Models (LLMs)
+ Retrieval-Augmented Generation (RAG)
+ Prompt Engineering
+ Embeddings and vector search
+ Experience integrating AI capabilities into enterprise applications and workflows
+ Experience developing APIs, microservices, and distributed applications
+ Experience with cloud platforms including Azure, AWS, and/or Google Cloud Platform
+ Experience optimizing AI solutions for performance, scalability, reliability, and cost efficiency
+ Solid understanding of software development lifecycle, testing frameworks, monitoring, and production operations
+ Solid expertise in AI/ML engineering, software engineering, and cloud-native solution development
+ Knowledge of feature engineering, data pipelines, model evaluation, and experimentation methodologies
+ Proven solid analytical, communication, stakeholder management, and problem-solving skills
+ Proven ability to collaborate effectively across engineering, AI, platform, and business teams
**Preferred Qualifications:**
+ Experience building and scaling enterprise AI platforms and production AI applications
+ Experience with MLOps and LLMOps platforms such as MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI, or similar technologies
+ Experience developing cloud-native applications using containerization, Kubernetes, serverless computing, and modern deployment architectures
+ Experience implementing Retrieval-Augmented Generation (RAG), semantic search, vector databases, and enterprise knowledge retrieval solutions
+ Experience with distributed systems, streaming architectures, and large-scale data processing platforms such as Spark, Kafka, and Databricks
+ Experience implementing observability, monitoring, logging, and operational support practices for AI systems
+ Experience developing reusable engineering frameworks, accelerators, shared services, and reference architectures
+ Experience working in healthcare, financial services, insurance, or other regulated enterprise environments
+ Experience mentoring engineers and driving engineering standards, best practices, and technical excellence
+ Familiarity with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, CrewAI, AutoGen, or equivalent technologies
+ Understanding of Responsible AI, model governance, security, and compliance requirements
+ Contributions to enterprise AI platforms, technical publications, patents, open-source initiatives, or innovation programs
_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._

**Requisition number:**
**Job category:** Technology
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:**
+ AI Systems Architecture & Engineering
+ Design, develop, and operate enterprise AI systems supporting Machine Learning, Generative AI, Agentic AI, and intelligent automation workloads
+ Lead architecture and implementation of scalable backend systems enabling AI model serving, inference, orchestration, and enterprise integration
+ Design reusable AI services, APIs, microservices, and platform components that accelerate AI solution delivery
+ Develop AI systems that support both real-time and batch inference workloads with high availability and low latency
+ Translate business requirements into scalable, secure, and production-ready AI solutions
+ AI Platform Engineering
+ Build and enhance enterprise AI platforms supporting:
+ Model development
+ Model deployment
+ Model serving
+ Inference orchestration
+ Evaluation
+ Governance
+ Lifecycle management
+ Design AI platform capabilities that enable self-service AI deployment and operationalization
+ Develop reusable platform services, SDKs, accelerators, deployment templates, and engineering frameworks
+ Support centralized AI governance, model access, usage management, and operational controls
+ MLOps, LLMOps & Agentic Ops
+ Establish and manage end-to-end MLOps, LLMOps, and Agentic Ops practices
+ Build automated CI/CD pipelines supporting:
+ Model deployment
+ Agent deployment
+ Application deployment
+ Infrastructure deployment
+ Implement model lifecycle management, experiment tracking, versioning, validation, rollout strategies, and release management
+ Operationalize LLMs, RAG systems, AI agents, and multi-agent workflows within enterprise environments
+ Implement monitoring and governance strategies for AI applications, models, prompts, agents, and workflows
+ Generative AI & Agentic AI Engineering
+ Design and implement enterprise Generative AI solutions using:
+ Large Language Models (LLMs)
+ Retrieval-Augmented Generation (RAG)
+ Prompt orchestration
+ Semantic retrieval
+ Vector search
+ Build Agentic AI systems capable of:
+ Multi-step reasoning
+ Workflow execution
+ Tool usage
+ API integrations
+ Multi-agent orchestration
+ Integrate AI capabilities with enterprise applications, APIs, business processes, and operational systems
+ Optimize AI systems for response quality, accuracy, latency, throughput, and efficiency
+ Backend Systems & Distributed Architecture
+ Design and develop high-performance backend applications using modern software engineering principles
+ Build scalable distributed systems that support AI workloads across cloud and hybrid environments
+ Develop event-driven, service-oriented, and microservices-based architectures
+ Implement caching, asynchronous processing, messaging, queuing, and workload distribution strategies
+ Optimize backend services for scalability, resilience, fault tolerance, and operational efficiency
+ Observability, Reliability & Governance
+ Establish observability frameworks for AI platforms and services including:
+ Logging
+ Monitoring
+ Distributed tracing
+ Alerting
+ Operational telemetry
+ Monitor model performance, inference behavior, agent effectiveness, application health, and operational KPIs
+ Implement Responsible AI controls, model governance, security safeguards, and compliance requirements
+ Support incident management, root cause analysis, production troubleshooting, and continuous reliability improvements
+ Cross-Functional Leadership
+ Collaborate with Applied Scientists, Data Scientists, Data Engineers, Platform Engineers, Security Teams, and Product Organizations
+ Establish engineering standards, best practices, architecture patterns, and operational guidelines
+ Mentor engineers and drive technical excellence across AI engineering teams
+ Stay current with emerging technologies across AI, GenAI, Agentic AI, cloud platforms, and backend engineering ecosystems.
+ 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 **Scientist** **Responsibilities** _: (manager discretion if AI responsibilities are already present in JD):_ Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability
**Required Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related field; Master's degree preferred
+ 12+ years of software engineering, AI engineering, platform engineering, or backend systems development experience
+ Experience implementing MLOps, LLMOps, and AI operational practices in enterprise environments
+ Experience building and deploying AI/ML solutions into production environments
+ Solid backend engineering experience designing and developing scalable enterprise applications and distributed systems
+ Hands-on experience with:
+ o Large Language Models (LLMs)
+ o Retrieval-Augmented Generation (RAG)
+ o Embeddings
+ o Vector databases
+ o Agentic AI systems
+ Experience building APIs, microservices, distributed systems, and event-driven architectures
+ Experience developing cloud-native applications on Azure, AWS, and/or Google Cloud Platform
+ Experience with monitoring, observability, reliability engineering, and production operations
+ Solid understanding of containerization, Kubernetes, deployment automation, and infrastructure engineering
+ Solid expertise in Machine Learning, AI system development, model deployment, and inference architectures
+ Solid programming expertise in Python and modern backend development frameworks
+ Proven solid communication, analytical, leadership, and stakeholder management skills
**Preferred Qualifications:**
+ Experience building enterprise AI platforms supporting AI/ML, Generative AI, LLM, and Agentic AI workloads
+ Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or LlamaIndex
+ Experience deploying and managing open-source and commercial foundation models
+ Experience designing and implementing RAG architectures, vector retrieval systems, semantic search platforms, and enterprise knowledge solutions
+ Experience with Kafka, Spark, Databricks, Redis, Elasticsearch, or equivalent platform technologies
+ Experience implementing AI observability, prompt monitoring, agent monitoring, evaluation frameworks, and operational governance
+ Experience developing reusable platform capabilities, engineering frameworks, shared services, and architecture accelerators
+ Experience within healthcare, financial services, insurance, or other highly regulated industries
+ Experience leading engineering teams and driving large-scale technology transformation initiatives
+ Solid understanding of Responsible AI, model governance, AI security, and enterprise compliance requirements
+ Solid expertise with MLOps and LLMOps platforms including MLflow, Kubeflow, Azure ML, SageMaker, Vertex AI, or equivalent technologies
+ Expertise in distributed computing, event-driven architectures, messaging systems, and real-time data processing
+ Contributions to enterprise AI platforms, technical publications, patents, open-source projects, or innovation programs
_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._
_\#Gen_

**Requisition number:**
**Job category:** Technology
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:**
+ Own end-to-end delivery of AI/ML programs across portfolios with accountability for timelines, quality, and business outcomes
+ Lead cross-functional teams (Data Science, ML, Data Engineering, Platform) and manage capacity, hiring, and performance
+ Define execution plan aligned to AI strategy:
+ Roadmaps, milestones, dependencies, and release plans
+ Clear success metrics (ROI, adoption, efficiency, accuracy)
+ Drive AIDLC adoption across teams:
+ Standard processes, governance, and delivery frameworks
+ Consistent model lifecycle management and delivery discipline
+ Ensure stable, scalable production delivery:
+ Oversee architecture, design reviews, and quality standards
+ Ensure reliability, performance, and SLAs
+ Manage stakeholder engagement:
+ Primary interface with business, product, and leadership
+ Align priorities, expectations, and delivery outcomes
+ Govern data, AI, and platform usage:
+ Ensure compliance, security, and responsible AI practices
+ Track and control program-level risks
+ Own cost and budget management:
+ Optimize resource allocation and tool usage
+ Monitor program-level cost vs value
+ Drive engineering excellence and team productivity:
+ Agile, DevOps practices
+ Standardization and reuse across teams
+ Deliver measurable outcomes:
+ On-time delivery
+ Business impact (revenue, efficiency, adoption)
+ Team velocity and quality
+ 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
**Scientist** **Responsibilities** _: (manager discretion if AI responsibilities are already present in JD):_
Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability
**Required Qualifications:**
+ Bachelor's or Master's in Computer Science / AI / Data Science / Engineering or related field
+ 16+ years; solid delivery leadership in AI/ML programs
+ Proven team management and stakeholder influence
+ Broad technical expertise across AI, data, and platforms
**Technical Skills**
+ Programming: Python, SQL
+ AI/ML: ML models, deep learning (PyTorch / TensorFlow)
+ Generative AI: LLMs, RAG, prompt engineering, vector databases
+ Agentic AI: Multi-agent frameworks, orchestration, tool integration
+ Data Handling: Feature engineering, data pipelines, experimentation
+ Cloud Platforms: Azure / AWS / GCP
+ Optimization: Token usage, model selection, cost-performance tuning
+ Tools: Experimentation frameworks, AI toolchains, prototyping platforms
_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._

**Requisition number:**
**Job category:** Technology
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:**
+ Own end-to-end delivery of AI/ML programs across portfolios with accountability for timelines, quality, and business outcomes
+ Lead cross-functional teams (Data Science, ML, Data Engineering, Platform) and manage capacity, hiring, and performance
+ Define execution plan aligned to AI strategy:
+ Roadmaps, milestones, dependencies, and release plans
+ Clear success metrics (ROI, adoption, efficiency, accuracy)
+ Drive AIDLC adoption across teams:
+ Standard processes, governance, and delivery frameworks
+ Consistent model lifecycle management and delivery discipline
+ Ensure stable, scalable production delivery:
+ Oversee architecture, design reviews, and quality standards
+ Ensure reliability, performance, and SLAs
+ Manage stakeholder engagement:
+ Primary interface with business, product, and leadership
+ Align priorities, expectations, and delivery outcomes
+ Govern data, AI, and platform usage:
+ Ensure compliance, security, and responsible AI practices
+ Track and control program-level risks
+ Own cost and budget management:
+ Optimize resource allocation and tool usage
+ Monitor program-level cost vs value
+ Drive engineering excellence and team productivity:
+ Agile, DevOps practices
+ Standardization and reuse across teams
+ Deliver measurable outcomes:
+ On-time delivery
+ Business impact (revenue, efficiency, adoption)
+ Team velocity and quality
+ Scientist Responsibilities:
+ Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability
+ 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 regard 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 in Computer Science / AI / Data Science / Engineering or related field
+ Experience & Skills
+ 16+ years; solid delivery leadership in AI/ML programs
+ Proven team management and stakeholder influence
+ Broad technical expertise across AI, data, and platforms
+ Technical Skills
+ Programming: Python, SQL
+ AI/ML: ML models, deep learning (PyTorch / TensorFlow)
+ Generative AI: LLMs, RAG, prompt engineering, vector databases
+ Agentic AI: Multi-agent frameworks, orchestration, tool integration
+ Data Handling: Feature engineering, data pipelines, experimentation
+ Cloud Platforms: Azure / AWS / GCP
+ Optimization: Token usage, model selection, cost-performance tuning
+ Tools: Experimentation frameworks, AI toolchains, prototyping platforms
+ Solid ability to drive execution with partial ownership of delivery
+ Good hands-on technical depth in AI/ML systems
+ Ability to manage teams while contributing technically
+ Solid communication and coordination skills
Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.
_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._
\#GEN

**Requisition number:**
**Job category:** Technology
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 Senior AI/ML Engineer is a highly skilled technical contributor responsible for designing, implementing, and optimizing advanced AI and machine learning solutions. This role focuses on building scalable models and systems, ensuring high performance and reliability, while collaborating with cross-functional teams to translate business requirements into innovative AI solutions.
**Primary Responsibilities:**
+ AI/ML Solution Development: Design, implement, and optimize advanced AI and machine learning models, including statistical, deep learning, and generative AI models
+ Model Training & Evaluation: Run proof-of-concepts, train models at scale, and baseline performance using evaluation metrics
+ Platform & Infrastructure: Work on large-scale training and inference using platforms like Databricks, PySpark, and cloud environments (AWS, Azure, GCP)
+ Generative AI & Advanced Techniques: Apply techniques such as RAG, LangChain, and VectorDBs; optimize and quantize GenAI models for performance
+ Software Engineering Practices: Develop APIs (REST, FAST), containerize solutions with Docker, and integrate UI tools like Streamlit or Flask
+ Collaboration & Communication: Partner with cross-functional teams to understand business needs and translate them into AI solutions; present complex analytics clearly
+ Mentorship & Team Culture: Mentor junior engineers, foster a collaborative environment, and uphold standards for safety, quality, and trust
+ 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 regard 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, Data Science, or a related field.
+ Experience:
+ 5+ years in software engineering with proven success designing and building high-quality, commercial applications
+ 2+ years in AI/ML engineering, including deploying models at scale and leading technical teams
+ 3+ years proficiency in Java, Python, R, SQL, and Linux shell scripting
+ 1+ years hands-on cloud experience in AWS, Azure, and GCP (especially AWS)
+ 1+ years experience with MongoDB, Databricks, PySpark/SparkSQL, and data pipeline implementation
+ Familiarity with Hadoop and MLOps practices
+ Technical Skills:
+ Experience with MongoDB and relational databases (PostgreSQL, MySQL, SQL Server)
+ Expertise in AI/ML frameworks, orchestration tools, and scalable architectures
+ Solid knowledge of big data technologies (Spark, Hadoop, Kafka) and modern data platforms
+ Familiarity with Infrastructure as Code (Terraform, CloudFormation)
+ Proficient in Databricks (Delta Lake, Lakehouse architecture, Unity Catalog) and data governance
+ Leadership & Collaboration:
+ Proven excellent leadership, communication, and cross-functional collaboration skills
+ Ability to mentor engineers, lead technical reviews, and drive architectural decisions across cloud, AI/ML, and data domains
+ Solid foundation in data science principles: statistics, optimization, probability theory, simulation, and data modeling
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.
_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._