AI ML 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 ou r 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 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 strong focus on Large Language Models (LLMs), Agentic Solutions, 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 and Deployment:
  • Architect and implement scalable ML solutions using Azure ML Studio and Azure Machine Learning services
  • Fine-tune and deploy LLMs for enterprise-grade applications
  • Design and build RAG pipelines leveraging Azure services and vector databases
  • Develop and orchestrate multi-agent LLM systems for complex workflows
  • Ensure robust model deployment, monitoring, and performance optimization in production environments
• 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
  • Apply MLOps best practices for model governance, monitoring, and retraining
  • Ensure compliance with data governance, privacy, and security standards in cloud environments
• Data Engineering and Processing:
  • Build and maintain ETL/ELT pipelines for structured and unstructured data using Databricks and Apache Spark
  • Prepare and transform structured and unstructured data using Python, PySpark, and SQL for training and inference
• Collaboration and 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

• Experience:
  • 5+ 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
• Technical Skills:
  • Experience with Databricks, Apache Spark, and Azure Data services
  • Familiarity with MCP, Langchain, vector databases and embedding models
  • Knowledge of Azure DevOps and CI/CD for ML workflows
  • Proficiency in Python, SQL, LLMs and PySpark
• Soft Skills:
  • Proven solid analytical and problem-solving skills
  • Proven effective communication and collaboration with cross-functional teams
  • Demonstrated ability to translate business requirements into technical solutions