Senior AI or ML Engineer - Hybrid in Austin, TX, Chicago, IL, or Minneapolis, MN jobs in United States
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Optum ยท 1 day ago

Senior AI or ML Engineer - Hybrid in Austin, TX, Chicago, IL, or Minneapolis, MN

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The role involves developing and enhancing a voice-based bot platform using large language models, focusing on creating scalable AI solutions for healthcare applications.

EducationHealth CareMedicalPharmaceutical
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H1B Sponsor Likelynote

Responsibilities

Help design and develop the next generation of NLP, ML & AI products, and services for healthcare
Develop machine learning and deep learning models and systems in domains including, but not limited to: NLP, NLU, NLG, SLU and multidimensional time series forecasting among others
Exposure in RAG, LangChain, VectorDBs
Ability to Quantize, Optimize GenAI models
Manage NLP & ML models lifecycle for a suite of products
Run large complex proof-of-concepts for the healthcare business
Manage prioritization and technology work for building NLP, ML & AI solutions
Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation
Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome
Work with a great deal of autonomy to find solutions to complex problems
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

Qualification

Machine LearningNatural Language ProcessingLarge Language ModelsJavaScriptPythonAWS BedrockConversational AIModel OptimizationClient-side DevelopmentDeep LearningEvent-driven ArchitectureCI/CD Pipelines

Required

5+ years of experience in delivering AI/ML projects in a production environment, preferably consumer-facing and high-traffic systems
5+ years of client-side application development, with a solid track record of building scalable and performant user-facing applications
5+ years of hands-on coding experience in JavaScript or Python-must be comfortable writing production-quality code
3+ years of hands-on development experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, or custom LLM orchestration
2+ years of experience working with agentic AI architectures, including task decomposition, memory management, and autonomous agent workflows

Preferred

Experience working with AWS Bedrock, including deploying and orchestrating foundation models within a managed environment
Hands-on experience integrating conversational AI platforms like Amazon Lex V2 with backend services or bots, especially for voice-based or multi-turn conversations
Familiarity with AWS Lambda for building scalable, serverless microservices that integrate with LLM workflows or bot architectures
Experience with Amazon Kendra, Amazon SageMaker, or AWS Step Functions is a plus, especially in the context of LLM-powered knowledge retrieval or orchestration
Understanding of event-driven architecture and serverless patterns using AWS SNS/SQS, API Gateway, and DynamoDB
Experience deploying and monitoring LLM-enabled bots in Amazon Connect or other customer engagement platforms
Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully
Familiarity with CI/CD pipelines on AWS (e.g., CodePipeline, CodeBuild) for automating model updates and bot deployments
Proven skills in the following: NLP, NLU, NLI, Models: GPT, Llama, Mistral, Model Optimization, Retrieval & Ranking, RAG, RAGAS

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Company

Optum is a healthcare company that provides pharmacy services, health care operations, and population health management. It is a sub-organization of UnitedHealth Group.

H1B Sponsorship

Optum has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (648)
2024 (559)
2023 (620)
2022 (851)
2021 (593)
2020 (438)

Funding

Current Stage
Late Stage

Leadership Team

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Daniel Castillo
Chief Executive Officer, Optum Care Delivery
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Jay Green
Chief Financial Officer
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Company data provided by crunchbase