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Optum

AI/ML Engineer

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In-Office
Hyderabad, Telangana, IND
Senior level
In-Office
Hyderabad, Telangana, IND
Senior level

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Design, test, validate, optimize and deploy scalable AI/ML models and LLM-based workflows (RAG, LangChain/LangGraph, agents) into cloud-based production using CI/CD and containerization, while ensuring monitoring, security/compliance, performance, cost optimization, documentation, and cross-team collaboration.
The summary above was generated by AI
Requisition Number: 2379429
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:
  • Develop and integrate AI/ML models into enterprise applications with a focus on scalability and performance
  • Conduct advanced model testing, validation, and optimization for accuracy and efficiency
  • Implement workflows using LLMs, RAG, LangChain/LangGraph, and Agentic AI patterns for production-grade solutions
  • Deploy models on Azure, GCP, or AWS using CI/CD pipelines and containerization (Docker/Kubernetes)
  • Collaborate with engineering teams to ensure seamless integration of AI services into applications
  • Implement monitoring and observability for AI systems to ensure reliability and compliance
  • Apply organizational security and compliance standards for AI integrations
  • Optimize AI services for cost, scalability, and performance in production environments
  • Document integration processes, maintain best practices, and contribute to continuous improvement
  • Stay updated on emerging AI/ML tools, frameworks, and trends relevant to enterprise adoption
  • 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, Engineering, or related field
  • 6+ years of experience in software engineering with solid exposure to AI/ML solutions
  • Hands-on experience with LLMs, LangChain/LangGraph, and RAG concepts
  • Experience deploying models on cloud platforms (Azure preferred, GCP, AWS) with CI/CD and containerization
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, or similar)
  • Familiarity with monitoring, observability, and performance optimisation for AI systems
  • Solid understanding of security and compliance requirements for AI deployments
  • Proven excellent analytical and problem-solving skills
  • Ability to work collaboratively in cross-functional teams and contribute to technical decisions
  • Good understanding of modern DevOps practices and infrastructure automation
  • Solid communication and documentation 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 Hyderabad, Telangana, IND Office

Hyderabad, India, India

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