Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers healthcare supported by technology to help people live healthier lives. The AI/ML Engineer will design, develop, and deploy GenAI, LLM, machine learning, semantic search, and AI-powered solutions for enterprise healthcare operations. The role also involves building Python inference APIs on Kubernetes, evaluating emerging technologies, and maintaining reliable AI/ML pipelines.
Responsibilities
- Design, develop, and validate machine learning models using GenAI (LLMs, agentic frameworks) and traditional ML techniques on cloud platforms
- Write and deploy scalable Python APIs for model inference running on Kubernetes, ensuring efficient containerization and orchestration of agentic flows
- Implement and integrate semantic search capabilities to enhance data accessibility and retrieval for analytics and business intelligence
- Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
- Evaluate emerging technology trends and best practices to inform solution design, architecture, and strategic innovation
- Leverage enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous software delivery improvement
- Utilize agentic coding and version control tools (e.g., GitHub Copilot, Claude) for efficient code creation, repository management, and technical collaboration
- Maintain rigorous coding standards, thorough documentation, and effective performance monitoring across all deployed AI/ML pipelines
Skills
- 4+ years of software development, data engineering, or AI/ML experience
- 4+ years of professional experience in Python using core data science and machine learning libraries (e.g., scikit-learn, Databricks)
- 3+ years of experience applying machine learning techniques in a commercial enterprise, including supervised/unsupervised learning, time-series forecasting, or statistical analysis
- 2+ years of experience applying NLP (transformers, GPT) or LLMs (RAG, vector databases, embeddings) in a production setting with large-scale datasets
- 1+ years of experience building, deploying, and maintaining RESTful APIs for machine learning model inference
- Bachelor's degree or equivalent experience
- Strong analytical, quantitative, problem-solving, and critical thinking skills
- Strong written and verbal communication skills, including the ability to present detailed technical analyses to diverse technical and business stakeholders
- Experience with vision and speech models in GenAI (multimodal architectures)
- Background in healthcare data analytics (e.g., claims, eligibility, enrollment) and working within regulated compliance environments
- Hands-on experience with containerization and container orchestration technologies such as Docker and Kubernetes
- Experience utilizing AI-assisted developer and coding tools to accelerate software production and technical documentation
- Demonstrated familiarity with agentic frameworks, Model Context Protocol (MCP), and Agent-to-Agent (A2A) architectures
Benefits
- Flexibility to telecommute from anywhere within the U.S.
- Comprehensive benefits and career development opportunities
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
Company Overview
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