Software Engineer

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.

We are seeking a skilled and motivated AI/ML Engineer with 3–5 years of experience to join our team. The ideal candidate will have hands-on expertise in building and deploying AI/ML solutions on the Azure platform, with a solid focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and Azure ML Studio. You will play a key role in designing intelligent systems, deploying scalable models, and integrating advanced AI capabilities into enterprise applications.

Primary Responsibilities:

• AI/ML Development & Deployment:
  • Design, develop, and deploy machine learning models using Azure ML Studio and Azure Machine Learning services
  • Build and fine-tune LLM-based solutions for enterprise use cases
  • Develop and implement RAG pipelines using Azure services and vector databases
  • Deploy and monitor AI/ML models in production environments ensuring scalability and performance
• Azure Platform Engineering:
  
  • Leverage Azure services such as Azure Data Lake, Azure Synapse, Azure Blob Storage, and Azure Cognitive Search for data ingestion and processing
  • Integrate AI models with Azure-based data pipelines and APIs
  • Use Azure DevOps for CI/CD of ML workflows and model versioning
• Data Engineering & Processing:
  
  • Build and maintain ETL/ELT pipelines for structured and unstructured data using Databricks and Apache Spark
  • Prepare and transform data for training and inference using Python, PySpark and SQL
• LLM & RAG System Implementation:
  
  • Implement LLM-based agents and chatbots using frameworks like Langchain
  • Design and optimize RAG architectures for domain-specific knowledge retrieval
  • Work with vector databases (e.g., Azure Cognitive Search, FAISS) for embedding-based search
• Collaboration & Innovation:
  
  • Collaborate with data scientists, product managers, and engineers to deliver AI-driven features
  • Stay current with advancements in generative AI, LLMs, and Azure AI services
  • Contribute to the continuous improvement of AI/ML pipelines and best practices
• 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

• 3+ years of hands-on experience in AI/ML engineering with a focus on Azure
• Proven experience in deploying ML models using Azure ML Studio and Azure Machine Learning
• Experience working with LLMs, RAG systems, and AI agents
• Experience with Databricks, Apache Spark, and Azure Data services
• Knowledge of Azure DevOps and CI/CD for ML workflows
• Understanding of data governance and security in cloud environments
• Familiarity with MLOps practices and model monitoring tools
• Familiarity with vector databases and embedding models
• Proficiency in Python, SQL, and PySpark
• Proven solid analytical and problem-solving skills
• Proven effective communication and collaboration with cross-functional teams
• Proven ability to translate business requirements into technical solutions

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.