Sr - AI Engineer

Senior AI Engineer

Job Summary

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

Knowledge, Skills, Abilities, Behaviors

• Hands-on experience with modern AI systems, including LLMs, retrieval-augmented generation (RAG), agents, structured extraction, classification, or workflow automation.
• Pr oficiency in Python, with experience building cloud-native applications on AWS or GCP and working with relational and/or NoSQL databases.
• Practical experience with prompt engineering, tool calling, retrieval, model selection, context management, and AI application debugging.
• Experience evaluating AI system quality using metrics, test datasets, human review, and error analysis.
• Strong software engineering fundamentals, including system design, testing, scalability, and maintainability.

Disclaimer: This job posting and Location 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.