Level II - AI Engineer

General Information

• Reports directly to (Title): Manager
• Matrix reports to (Title): As applicable based on functional alignment
• Direct Reports: No

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 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.

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
• 1-3 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
• 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
• Familiarity with AI evaluation, prompt optimization, guardrails, or human-in-the-loop workflows. Preferred

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.