Manager AI or ML Engineering

As a senior AI/ML Engineer at Optum, you will be responsible for designing, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks. Your key responsibilities will include: - Designing and implementing ML models - Creating custom embeddings - Building RAG pipelines - Implementing vector databases - Developing agentic workflows with LangChain - Integrating AI into enterprise applications for Claims Payment Integrity (PI) You will collaborate closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases. Your primary responsibilities will include: - Contributing to experimentation with novel ML and Generative AI architectures - Creating and maintaining embedding models - Supporting RAG solutions, including semantic search and vector databases - Designing and implementing AI powered enterprise applications - Analyzing large datasets to identify trends and actionable insights - Enhancing existing models and improving model accuracy and performance - Optimizing AI pipelines for scalability, performance, reliability, and cost efficiency - Integrating AI/ML solutions into enterprise systems - Collaborating effectively with cross-functional teams and stakeholders - Contributing to skill development for engineers and interns in AI/LLM techniques In terms of qualifications, you are required to have: - Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related field - 8+ years of relevant experience in ML model development - Hands-on expertise in Databricks, Spark, Python, Scala, SQL - Experience with Azure cloud, CI/CD using Git, GitHub Actions/Jenkins, Terraform - LLM & GenAI Skills including creating custom embedding models, building RAG pipelines, using LangChain for agentic workflows, and experience with OpenAI/Azure OpenAI APIs - Ability to build ML models end to end and excellent communication and partnership skills Preferred qualifications include experience with multimodal or transformer-based models, NLP or enterprise search, Agile/Scrum experience, and domain knowledge in healthcare or PI/FWA analytics. Optum, a global organization focused on improving health outcomes, offers a culture guided by inclusion, talented peers, comprehensive benefits, and career development opportunities. Join Optum to start making an impact on advancing health optimization globally. As a senior AI/ML Engineer at Optum, you will be responsible for designing, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks. Your key responsibilities will include: - Designing and implementing ML models - Creating custom embeddings - Building RAG pipelines - Implementing vector databases - Developing agentic workflows with LangChain - Integrating AI into enterprise applications for Claims Payment Integrity (PI) You will collaborate closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases. Your primary responsibilities will include: - Contributing to experimentation with novel ML and Generative AI architectures - Creating and maintaining embedding models - Supporting RAG solutions, including semantic search and vector databases - Designing and implementing AI powered enterprise applications - Analyzing large datasets to identify trends and actionable insights - Enhancing existing models and improving model accuracy and performance - Optimizing AI pipelines for scalability, performance, reliability, and cost efficiency - Integrating AI/ML solutions into enterprise systems - Collaborating effectively with cross-functional teams and stakeholders - Contributing to skill development for engineers and interns in AI/LLM techniques In terms of qualifications, you are required to have: - Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related field - 8+ years of relevant experience in ML model development - Hands-on expertise in Databricks, Spark, Python, Scala, SQL - Experience with Azure cloud, CI/CD using Git, GitHub Actions/Jenkins, Terraform - LLM & GenAI Skills including creating custom embedding models, building RAG pipelines, using LangChain for agentic workflows, and experience with OpenAI/Azure OpenAI APIs - Ability to build ML models end to end and excellent communication and partnership skills Preferred qualifications include experience with multimodal or transformer-based models, NLP or enterprise search, Agile/Scrum experience, and domain knowledge in healthcare or PI/FWA analytics. Optum, a global organization focused on improving health outcomes, offers a culture guided by inclusion, talented peers, comprehensive benefits, and career development opportunities. Join Optum to start making an impact on advancing health optimization globally.