Software Engineer

Optum India; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Optum is seeking an AI/ML engineer to design, build, and deploy AI solutions on the Azure cloud. You will develop generative AI features, integrate with enterprise systems, and collaborate with cross-functional teams to translate requirements into scalable data pipelines and APIs.

The role emphasizes MLOps, model evaluation, and security/compliance with enterprise standards, while staying current on GenAI trends and tooling.

Qualifications

• Experience in AI/ML solution development and deployment.
• Proficiency with Generative AI, LLMs, Prompt Engineering, and RAG architectures.
• REST APIs, microservices, and enterprise app integrations.
• Azure cloud applications and services.
• Strong data engineering, model evaluation, and performance optimization.
• Familiarity with DevOps and containerized deployments.

Responsibilities

• Design, develop, and deploy AI/ML solutions on Azure cloud.
• Build and integrate GenAI, ML, and automation to meet business needs.
• Develop scalable data pipelines, models, and APIs on Azure.
• Collaborate with stakeholders to translate requirements into tech solutions.
• Integrate AI services with enterprise apps and workflows.
• Monitor, optimize, and secure AI solutions; apply MLOps practices.

Skills

Python programming

AI/ML

Communication

Team collaboration

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Azure AI Services

Azure Machine Learning

Azure OpenAI

Azure Functions

Azure Data Services

REST APIs

CI/CD pipelines

Terraform

Containers

Job description

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 deploy AI/ML solutions using Azure AI and cloud-native services
• Build and integrate Generative AI, Machine Learning, and Intelligent Automation solutions to address business requirements
• Develop and maintain scalable data pipelines, AI models, and APIs on the Azure platform
• Collaborate with business stakeholders, architects, and development teams to translate requirements into technical solutions
• Integrate AI services with enterprise applications and workflows to enhance automation and customer experience
• Monitor, optimize, and troubleshoot AI solutions to ensure performance, reliability, and security
• Apply MLOps best practices for model deployment, versioning, monitoring, and lifecycle management
• Ensure compliance with enterprise security, governance, and responsible AI standards
• Work with cross-functional teams to identify opportunities for AI-driven innovation
• AI Builder Responsibilities:
  • Use GenAI tools (Copilot, Claude, Gemini AI) to ideate, prototype, and implement features efficiently
  • Apply Vibe coding techniques to maintain clean, expressive, and AI-augmented codebases
  • Develop internal tools and scripts using AI to automate repetitive tasks and improve productivity
  • Stay current with emerging GenAI trends, tools, and ethical considerations
• 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, Engineering, Data Science, or a related field
• 3+ years of experience in AI/ML solution development and deployment
• Experience with Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval‑Augmented Generation (RAG) architectures
• Experience with REST APIs, microservices, and enterprise application integrations
• Application support experience in Azure cloud
• Solid experience with Microsoft Azure cloud services, including Azure AI Services, Azure Machine Learning, Azure OpenAI, Azure Functions, and Azure Data Services
• Solid understanding of data engineering, model evaluation, and performance optimization techniques
• Familiarity with DevOps, CI/CD pipelines,Terraforms, containers, and cloud deployment practices
• Proficiency in Python and AI frameworks
• Proven excellent problem‑solving, communication, and collaboration skills

Preferred Qualifications

• Microsoft Azure AI or Azure Solutions certifications
• Knowledge of Pega platform and AI integration with Pega workflows
• Pega platform knowledge or experience integrating AI solutions with Pega applications

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.

Requirements: