AI ML Engineer -Amazon Lex, Bedrock, LLM

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
We are seeking a highly skilled AI/ML Engineer with solid expertise in chatbot and voice bot development to design, build, and deploy intelligent conversational AI solutions. The ideal candidate will have hands-on experience with AWS AI services, especially Amazon Lex, Amazon Bedrock, and related NLP/LLM technologies, and will play a key role in delivering scalable, production-grade conversational systems.
Primary Responsibilities:

• Design, develop, and deploy chatbots and voice bots using Amazon Lex (V1/V2)
• Build and integrate LLM-powered applications using Amazon Bedrock (Claude, Titan, etc.)
• Implement natural language understanding (NLU), intent classification, entity extraction, and dialogue management
• Develop backend services to integrate bots with APIs, databases, CRMs, and third-party systems
• Optimize conversational flows for accuracy, latency, and user experience
• Implement prompt engineering, retrieval-augmented generation (RAG), and context management
• Monitor, evaluate, and continuously improve bot performance using analytics and logs
• Ensure security, scalability, and reliability of AI solutions on AWS
• Collaborate with product managers, UX designers, and DevOps teams
• Document system designs, workflows, and best practices
• 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:

• Core AI/ML and NLP Skills
  • Experience with LLMs, prompt engineering, and generative AI use cases
  • Solid understanding of Machine Learning, Deep Learning, and NLP concepts
  • Knowledge of intent classification, entity recognition, dialogue systems, and speech-to-text or text-to-speech
• AWS and Cloud Technologies
  • Hands-on experience with Amazon Lex (Chat and Voice Bots)
  • Experience using Amazon Bedrock for generative AI applications
  • Familiarity with AWS Lambda, API Gateway, DynamoDB, S3, CloudWatch
  • Understanding of IAM, security best practices, and cloud architecture
• Programming and Frameworks
  • Experience with REST APIs, microservices, and backend integration
  • Experience with RAG pipelines, vector databases (FAISS, Pinecone, OpenSearch, etc.)
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face
  • Proficiency in Python (preferred) or JavaScript or TypeScript
• Voice and Conversational AI
  • Experience with speech recognition (ASR) and text-to-speech (TTS) systems
  • Knowledge of IVR systems and telephony integrations (Amazon Connect preferred)
  • Solid understanding of conversational UX design
• DevOps and MLOps
  • Experience with CI/CD pipelines, Docker, and containerization
  • Familiarity with model deployment, monitoring, and versioning
  • Knowledge of logging, testing, and performance optimization

Preferred Qualifications:

• Bachelor's or advanced degree in a related technical field
• AWS Certification (e.g., AWS Machine Learning Specialty)
• Experience with Amazon Connect for contact center solutions
• Experience in enterprise-scale or customer-facing AI systems
• Knowledge of LangChain or similar LLM orchestration frameworks
• Exposure to multi-lingual chatbot development

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves 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.