Optum, a global healthcare technology leader, is seeking an AI/ML Engineer to drive innovation in health optimization. This role offers a unique opportunity to leverage cutting-edge AI and Generative AI technologies to improve health outcomes for millions worldwide.

Join a collaborative and inclusive culture with talented peers, comprehensive benefits, and ample career development. You'll contribute to advanced solutions, making a tangible impact on the communities we serve.

Advance health optimization globally by applying your expertise in AI and ML. This is your chance to be part of a mission-driven organization focused on Caring, Connecting, and Growing together.

Contribute to experiments with novel ML and Generative AI architectures, developing and maintaining domain-specific embedding models.

Support Retrieval Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration.

Design and implement AI-powered enterprise applications, analyzing large datasets to uncover trends and insights.

Collaborate with AI/ML Engineers and Leads to enhance existing models and optimize AI pipelines for scalability, performance, and cost efficiency.

Integrate AI/ML solutions into enterprise systems, working closely with data engineering, product, and platform teams.

Communicate complex technical concepts clearly to cross-functional teams and stakeholders. Contribute to the skill development of engineers and interns in AI/LLM techniques.

Requires a graduate degree or equivalent experience, with a Bachelor's or Master's in Computer Science, Engineering, Mathematics, or Statistics.

Possess 4+ years of relevant experience in solid ML model development. Hands-on expertise with Databricks, Spark, Python, Scala, and SQL is essential.

Skills include creating custom embedding models, building RAG pipelines, utilizing vector databases, semantic search, and leveraging LangChain for agentic workflows. Experience with OpenAI/Azure OpenAI APIs and Azure cloud services for compute, security, and resource management is required.

Familiarity with CI/CD using Git, GitHub Actions/Jenkins, and Terraform is needed. Demonstrated ability to build ML models end-to-end and excellent communication and partnership skills are paramount.