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Senior AI or ML Engineer Austin, TX, Chicago, IL, or Minneapolis, MN (Chicago)
Senior AI or ML Engineer Austin, TX, Chicago, IL, or Minneapolis, MN (Chicago)Optum • Chicago, IL, US
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Senior AI or ML Engineer Austin, TX, Chicago, IL, or Minneapolis, MN (Chicago)

Senior AI or ML Engineer Austin, TX, Chicago, IL, or Minneapolis, MN (Chicago)

Optum • Chicago, IL, US
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  • [job_card.full_time]
  • [job_card.part_time]
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Hybrid in Austin, TX, Chicago, IL, or Minneapolis, MN

Primary 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

Required Qualifications :

  • 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 Pythonmust 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 Qualifications :

  • 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
  • All employees working remotely will be required to adhere to UnitedHealth Groups Telecommuter Policy
  • Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, youll find a far-reaching choice of benefits and incentives. The salary for this role will range from $89,900 to $160,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.

    At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission.

    UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

    UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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