Optum India
Website:
optum.com
Company:
https://www.linkedin.com/company/optumindia
Seniority: Not Applicable
Industries: IT Services and IT Consulting
Job details:
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 integrate AI-powered features and solutions into enterprise applications to enhance user experience and business outcomes
- Collaborate with SMES, ML engineers, and product teams to operationalize machine learning models and AI services in production environments
- Build and maintain scalable APIs and services that leverage Generative AI, Large Language Models (LLMs), and intelligent automation capabilities
- Evaluate, fine-tune, and integrate AI models and frameworks to address business use cases and improve application functionality
- Implement responsible AI practices, ensuring solutions meet security, privacy, compliance, and ethical AI standards
- Develop and optimize Retrieval-Augmented Generation (RAG) solutions, vector databases, and knowledge-grounding capabilities
- Monitor AI solution performance, model quality, accuracy, and operational reliability in production environments
- Stay current with emerging AI technologies, industry trends, and best practices, and recommend their adoption where appropriate
- Partner with stakeholders to identify opportunities for leveraging AI to improve productivity, automation, and decision-making
- Contribute to AI governance, model evaluation frameworks, prompt engineering practices, and AI solution architecture standards
- Mentor team members on AI-enabled development practices and promote the adoption of modern AI engineering approaches
- Design, develop, test, and maintain scalable, reliable, and secure software applications
- Lead the end-to-end delivery of complex features and projects, from requirements gathering through deployment and support
- Collaborate with product managers, architects, designers, and cross-functional engineering teams to define and implement technical solutions
- Write clean, maintainable, and well-documented code following industry best practices and coding standards
- Conduct code reviews, provide constructive feedback, and mentor junior engineers to promote engineering excellence
- Troubleshoot and resolve complex technical issues, ensuring optimal application performance and reliability
- Drive system architecture discussions and contribute to technical design decisions
- Improve software quality through automated testing, CI/CD pipelines, and observability practices
- Participate in Agile development processes, including sprint planning, estimation, stand-ups, and retrospectives
- Continuously evaluate and adopt new technologies, tools, and development practices to improve productivity and product quality
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Ensure compliance with security, privacy, and operational standards throughout the software development lifecycle
- Support production systems, analyze root causes, and implement preventive measures for recurring issues
- Contribute to technical documentation, knowledge sharing, and process improvements across the engineering organization
- 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, or a related field
- 5+ years of professional software development experience
- Hands-on experience with DevOps practices, CI/CD, and containerization technologies
- Hands-on experience with Generative AI technologies, including Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Anthropic Claude, or similar platforms
- Experience with cloud platforms (Azure, AWS, or Google Cloud)
- Experience mentoring engineers and leading technical initiatives
- Experience building applications using AI services such as Azure AI, Azure OpenAI, Copilot technologies, or equivalent cloud-based AI platforms
- Experience developing and deploying AI/ML-powered applications in enterprise environments
- Experience building AI-powered solutions using Retrieval-Augmented Generation (RAG), vector databases, semantic search, and knowledge-grounding techniques
- Experience with AI Agent development and multi-agent systems
- Experience integrating AI capabilities into web, mobile, or enterprise applications through APIs and microservices architectures
- Knowledge of MLOps practices, model deployment, monitoring, and lifecycle management
- Understanding of Responsible AI principles, including security, privacy, governance, fairness, and compliance considerations
- Solid understanding of machine learning fundamentals, natural language processing (NLP), and intelligent automation concepts
- Solid understanding of microservices architecture, APIs, databases, and distributed systems
- Familiarity with AI orchestration frameworks such as LangChain, Semantic Kernel, LangGraph, or equivalent technologies
- Familiarity with Azure AI Services, Azure AI Foundry, Azure Machine Learning, Copilot technologies, or comparable cloud AI platforms
- Proficiency in prompt engineering, AI model evaluation, and optimization techniques
- Solid proficiency in one or more programming languages such as Java, C#, Python, JavaScript, or TypeScript
- Demonstrated ability to evaluate emerging AI technologies and apply them to solve business problems effectively
- Proven excellent problem-solving, communication, and collaboration 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.
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