About this role
Summary: Design, develop, and deploy production-ready Generative AI and Agentic AI solutions to solve healthcare business and clinical problems. The role involves building scalable applications using LLMs, RAG, and modern software engineering practices while partnering with cross-functional teams.
| General Position Information |
| --- |
| Department Name: | Digital Transformation & Innovation Team |
| Job Title Identification: | Senior - AI Engineer |
| Reports directly to (Title): | Manager - AI Engineering |
| Direct Reports: | No |
| Created / Last Revised: | 5/27/2025 / TBD |
| Job Code: | 2191 |
Position Summary
This is OUR story... and YOUR next chapter
At HCA Healthcare, we are using AI and machine learning to improve how healthcare is delivered, operated, and continuously improved at enterprise scale. Our teams are helping improve clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly matters.
What you will accomplish in this role
We are seeking a Senior AI Engineer who is passionate about building production-ready AI applications using Generative AI, Agentic AI, and modern software engineering practices. This role is focused on designing, developing, and deploying AI solutions that solve meaningful business and clinical problems.
The ideal candidate has hands-on experience building and delivering production AI solutions for enterprise users and enjoys translating business requirements into scalable, reliable AI applications. They bring strong software engineering fundamentals, applied AI expertise, and a collaborative mindset to deliver solutions from concept through production.
Major Responsibilities:
- Design, build, and maintain production-grade Generative AI, Agentic AI, and machine learning applications.
- Develop evaluation and testing approaches to measure model performance, identify regressions, and improve solution quality.
- Apply LLMs, multimodal models, retrieval-augmented generation (RAG), structured extraction, and tool calling to solve real-world healthcare workflows.
- Partner with Engineering, Product, Data, and Operations teams to integrate AI capabilities into HCA's systems.
- Improve the reliability, observability, guardrails, and monitoring of production AI applications.
- Stay current with advancements in AI technologies and apply them pragmatically to deliver business value.
Education & Experience:
- Bachelor's degree Required
- Master's degree Preferred
- 3-5 years of software engineering, applied AI, machine learning, or related technical experience, including at least 1 year of recent experience designing and delivering production-grade Generative AI solutions. Required
- Or equivalent combination of education and/or experience
Licenses, Certifications, & Training:
- No licenses, certifications, or training specified in the source job description. Not Specified
Knowledge, Skills, Abilities, Behaviors:
- Hands-on experience with modern AI systems, including LLMs, retrieval-augmented generation (RAG), agents, structured extraction, classification, or workflow automation. Required
- Proficiency in Python, with experience building cloud-native applications on AWS or GCP and working with relational and/or NoSQL databases. Required
- Practical experience with prompt engineering, tool calling, retrieval, model selection, context management, and AI application debugging. Required
- Experience evaluating AI system quality using metrics, test datasets, human review, and error analysis. Required
- Strong software engineering fundamentals, including system design, testing, scalability, and maintainability. Required
- Hands-on experience building retrieval-augmented AI applications using vector databases, embeddings, and semantic search. Required
- Experience working in healthcare, insurance, financial services, or another regulated industry. Preferred
- Familiarity with AI evaluation, prompt optimization, guardrails, or human-in-the-loop workflows. Preferred