Senior - AI Engineer

SENIOR AI ENGINEER

Job Description

General Position Information

Reports directly to (Title):

Matrix reports to (Title):

AC

Direct Reports:

Created / Last Revised:

Job Area:

AI Engineering

Job Focus:

Data Office

Job Code:

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

Additional Position Information

Work Location/Schedule:

Visa Sponsorship:

Virtual Interviews:

All HCA Healthcare virtual interviews are conducted without the use of virtual backgrounds, background blurring, or other visual distortion tools.

Travel Required

Travel to Nashville, TN for final interview, 3-day New Hire Orientation, quarterly team meetings, and other travel as needed.

No Travel: The job does not require any travel.

Occasional Travel: The job may require travel from time-to-time, but not on a regular basis.

The job may require up to 25% travel.

The job may require up to 50% travel.

The job may require up to 75% travel.

The job may require 76% or more travel.

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.