Architect

Optum; Hyderabad; On-site; INR 300,000 - 540,000; Full time

Job summary

Optum seeks an experienced ML Engineer to design and deploy scalable generative AI solutions that improve health outcomes. You will build predictive models, NLP systems, RAG architectures, and data pipelines on large healthcare datasets.

You will work with cloud-native stacks (AWS/Azure/GCP), containers, and MLOps practices, ensuring security, performance, and responsible AI usage across clinical and operational domains.

Qualifications

• Bachelor’s in CS, Engineering, Data Science or related field.
• 5+ years in software engineering, ML engineering, or AI development.
• 3+ years deploying ML solutions in production.
• Hands-on with Generative AI tech including LLMs, embeddings, RAG and vector DBs.
• Experience with AWS/Azure/GCP cloud-native solutions.
• Docker and Kubernetes experience.
• MLOps practices: deployment, monitoring, CI/CD, experiment tracking.
• Strong Python and ML framework skills (PyTorch, TensorFlow, Scikit-Learn).

Responsibilities

• Design, build, deploy, and maintain scalable ML and Generative AI solutions for clinical, pharmacy, payer, and operations use cases.
• Develop predictive models, NLP solutions, deep learning, and LLM-based applications.
• Construct data pipelines, feature engineering, and model training frameworks on large healthcare datasets.
• Implement RAG architectures, vector search, prompt engineering, and LLM evaluation.
• Fine-tune and deploy foundation models with reliability, security, and performance.
• Apply MLOps/LLMOps with CI/CD, testing, monitoring, and observability.
• Collaborate with data scientists, product managers, architects and stakeholders.
• Ensure Responsible AI, data governance, HIPAA compliance, and enterprise security controls.

Skills

Python

PyTorch

TensorFlow

ML/AI modeling

LLMs

RAG

Prompt engineering

Cloud platforms

Docker/Kubernetes

SQL

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Docker

Kubernetes

Git

VS Code/IDE

Job description

Improve the lives of others while Caring. Connecting. Growing together.

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:

• Design, build, deploy, and maintain scalable machine learning and Generative AI solutions supporting clinical, pharmacy, payer, and operational use cases
• Develop predictive models, recommendation systems, NLP solutions, deep learning models, and LLM-based applications to solve complex business problems
• Build and optimize data pipelines, feature engineering workflows, and model training frameworks using large-scale healthcare and business datasets
• Design and implement Retrieval-Augmented Generation (RAG) architectures, vector search solutions, prompt engineering techniques, and LLM evaluation frameworks
• Fine-tune and deploy foundation models while ensuring reliability, scalability, security, and performance
• Implement MLOps and LLMOps best practices including CI/CD pipelines, automated testing, model deployment, experiment tracking, monitoring, and observability
• Collaborate with data scientists, product managers, architects, and business stakeholders to translate requirements into scalable AI solutions
• Ensure adherence to Responsible AI principles, data governance standards, HIPAA requirements, and enterprise security controls
• Analyze model performance and continuously improve model accuracy, latency, cost, and user experience through experimentation and optimization
• Provide technical leadership, mentor junior engineers, conduct code reviews, and contribute to engineering best practices and standards
• Evaluate emerging AI technologies and recommend innovative approaches that create measurable business value
• Support production AI systems through monitoring, issue resolution, root cause analysis, and continuous improvement efforts
• 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, Engineering, Data Science, Mathematics, or a related technical field
• 5+ years of professional software engineering, machine learning engineering, or AI development experience
• 3+ years of experience building and deploying machine learning solutions in production environments
• Hands-on experience with Generative AI technologies including Large Language Models (LLMs), embeddings, prompt engineering, RAG, and vector databases
• Experience developing cloud-native solutions utilizing AWS, Azure, or Google Cloud Platform
• Experience with containerization and orchestration technologies including Docker and Kubernetes
• Knowledge of MLOps practices including model deployment, monitoring, experiment tracking, and CI/CD automation
• Solid understanding of machine learning fundamentals including supervised learning, unsupervised learning, statistical modeling, and model evaluation
• Solid proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, Scikit-Learn, or equivalent
• Solid expertise in SQL, data modeling, and large-scale data processing technologies
• Proven ability to communicate complex technical concepts to both technical and non-technical audiences

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.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.