HCA Healthcare is committed to providing high-quality healthcare services and is seeking a Senior AI Engineer to drive the development and implementation of Agentic AI solutions. The role involves collaborating with product managers and data scientists to deliver scalable and reliable AI products, while providing technical guidance and mentorship to team members.
Responsibilities:
- Design, development, and implementation of AI-powered applications and services, with a specific focus on Agentic AI
- Collaborate with product managers and data scientists to translate product requirements into technical specifications and actionable development tasks for Agentic AI solutions
- Design, develop, and deploy AI agents to automate tasks, improve decision-making, and enhance user experiences
- Integrate AI agents into existing systems and workflows, ensuring seamless operation and optimal performance
- Provide technical guidance and mentorship to team members, fostering a culture of learning and innovation in Agentic AI
- Oversee the development process, ensuring adherence to coding standards, testing protocols, and deployment procedures for Agentic AI solutions
- Design and implement scalable, reliable, and secure AI infrastructure to support Agentic AI development
- Evaluate and recommend new technologies and tools to improve the efficiency and effectiveness of the Agentic AI development process
- Stay current with advancements in AI, Agentic AI, and related technologies, and share knowledge with the team
- Participate in cross-functional collaboration across HCA business functions, IT, and enterprise product teams
- Typical work week hours can vary depending on workload and project deliverables
Requirements:
- Bachelor's degree in computer science, engineering, or a related technical field
- 5+ years of experience in software engineering, with a focus on AI/ML applications
- Proven experience leading and mentoring engineering teams
- Strong technical background with hands-on experience in developing and deploying AI/ML models, generative AI technologies, and Agentic AI development
- Experience with cloud-based AI platforms and services (e.g. GCP, Azure)
- Experience with agile development methodologies
- Deep understanding of software development best practices, including coding standards, testing, and deployment
- Strong analytical and problem-solving skills
- Ability to work effectively in a fast-paced, collaborative environment
- Passion for AI and its potential to transform healthcare