Senior AI/ML Engineer

Optum India; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Optum India in Bengaluru seeks an experienced AI/ML engineer to design, develop, and deploy GenAI and ML solutions for enterprise use cases. You will work with LLMs, embeddings, RAG, prompt engineering, and cloud AI services.

You will build scalable ML pipelines, integrate models into applications and APIs, apply MLOps/LLMOps, monitor for drift, and collaborate with data teams to deliver measurable business value while upholding data privacy and governance.

Qualifications

• Bachelor's or Master's in CS, DS, AI or related field.
• 7+ years in software, data science, ML, or AI engineering roles.
• 5+ years designing, deploying, and maintaining ML/AI solutions.
• Experience with LLMs, embeddings, RAG, and prompt engineering.
• Experience with cloud-based AI platforms (Azure, AWS, Google Cloud).
• Strong Python, SQL, APIs and ML frameworks; good stakeholder skills.

Responsibilities

• Design, develop, and deploy GenAI/ML solutions for enterprise use cases.
• Analyze business problems and select AI approaches (LLMs, embeddings, RAG).
• Build and integrate LLMA-based apps using prompts, orchestration, and vector databases.
• Develop, evaluate, deploy, and monitor ML models and AI-driven solutions.
• Create scalable ML pipelines for processing, training, validation, deployment.
• Integrate AI/ML models into applications, APIs, workflows, and data systems.
• Work with cloud platforms like Azure, AWS, Google Cloud; apply MLOps/LLMOps.
• Monitor accuracy, performance, cost, and business value; ensure governance.

Skills

Python

SQL

APIs

LLMs

MLOps

Cloud Platforms

Education

Bachelor's or Master's in CS/DS/AI

Tools

Databricks

Kubernetes

Azure/AWS/Google Cloud

Job description

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, develop, and implement AI, Machine Learning, and Generative AI solutions for business use cases
• Analyze business problems and recommend the right AI approach, including ML models, LLMs, RAG, embeddings, prompt engineering, or cloud AI services
• Build and integrate LLM-based applications using prompt engineering, orchestration, semantic search, vector databases, and model evaluation techniques
• Develop, evaluate, deploy, and continuously improve machine learning models and AI-driven solutions for diverse business use cases
• Build scalable AI/ML pipelines for data processing, model training, validation, deployment, monitoring, and retraining
• Integrate AI/ML models and GenAI capabilities into applications, APIs, workflows, enterprise platforms, and data systems
• Work with cloud-based AI and data platforms such as Azure, AWS, Google Cloud, Databricks, Kubernetes, serverless services, and vector databases
• Apply MLOps and LLMOps practices, including experiment tracking, model versioning, CI/CD, automated testing, deployment automation, and monitoring
• Evaluate and optimize AI/ML solutions for accuracy, performance, scalability, reliability, security, cost, and business value
• Monitor production AI systems for model drift, data quality issues, hallucinations, latency, cost, and performance degradation
• Apply responsible AI practices, including data privacy, access control, explainability, bias awareness, prompt safety, and governance alignment
• 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 Master's degree in Computer Science, Data Science, Engineering, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience
• 7+ years of experience in software engineering, data science, machine learning, AI engineering, or related technical roles
• 5+ years of hands-on experience designing, developing, deploying, and maintaining machine learning models, AI-driven solutions, or production AI systems
• Solid experience in AI/ML and Generative AI solution development
• Hands-on experience with LLMs, prompt engineering, RAG, embeddings, vector databases, and model evaluation
• Experience with cloud-based AI platforms such as Azure, AWS, or Google Cloud
• Experience with MLOps/LLMOps practices, including CI/CD, model versioning, automated deployment, and production monitoring
• Experience integrating AI/ML models and GenAI capabilities into applications, APIs, workflows, and enterprise systems
• Knowledge of responsible AI, data privacy, security, access control, and governance practices
• Solid understanding of the machine learning lifecycle, including data preparation, model training, deployment, monitoring, and optimization
• Proficiency in Python, SQL, APIs, and AI/ML frameworks
• Proven solid problem-solving, communication, collaboration, and stakeholder management 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.