Lead AI Engineer

HCA Healthcare is seeking a highly motivated Lead AI Engineer who will be central to building and scaling Generative AI and Machine Learning applications. This role involves partnering with business teams to define solutions and deliver impactful AI-enabled products while providing technical leadership and mentorship to AI Engineers.

Responsibilities:

• Lead design, development, and deployment of Generative AI, LLM, and ML applications in collaboration with business teams as a forward-deployed AI engineer
• Partner with product and business stakeholders to shape AI strategy, define use cases, and translate requirements into scalable, high-impact AI solutions
• Champion system design and software engineering best practices, ensuring solutions are robust, extensible, and secure
• Utilize frameworks such as LangChain, HuggingFace, Vertex AI, and other enterprise-scale AI platforms to build forward-looking capabilities
• Drive efficiency in AI development by leveraging AI-assisted development tools, automation, and reusable frameworks
• Own the end-to-end AI delivery lifecycle: experimentation, fine-tuning, deployment, monitoring, and continuous improvement
• Provide technical leadership, mentorship, and guidance to AI Engineers, advocating responsible AI principles and strong engineering culture
• Ensure seamless integration of LLMOps and MLOps practices for production-ready deployments, including prompt engineering, fine-tuning, monitoring, and optimization
• Stay ahead of AI trends, evaluating new models, architectures, and tools to maintain competitive advantage

Requirements:

• Bachelor's degree
• 7+ years of experience in software engineering with a focus on ML and AI System Engineering
• Advanced proficiency in Python, particularly in object-oriented programming, API development (e.g., using Flask), and working with SQL
• Deep expertise in large language models (LLMs), customer LLM framework, Agentic AI and familiarity with best practices in LLMops, alongside substantial experience with MLOps frameworks such as Vertex AI
• Extensive experience with NLP frameworks and libraries such as SpaCy, Transformers, HuggingFace, LangChain, as well as familiarity with other tools (PyTorch, TensorFlow, scikit-learn, NLTK) and techniques including topic modeling, named entity recognition, and information retrieval
• Practical experience with large language model prompting techniques, including zero-shot, few-shot, and chain-of-thought strategies
• Experience with modern Python development practices including type checking, testing frameworks, and package management
• Proven experience working within cloud computing environments, ideally on Google Cloud Platform (GCP), and a basic understanding of Infrastructure as Code (IaC) for cloud setups
• Familiarity with ML Development Lifecycle management and MLOps best practices
• Exceptional leadership, communication, and interpersonal skills, with a strong commitment to mentoring colleagues and fostering a diverse, equitable, and inclusive work environment
• Master's degree
• Understanding of ML/AI platform tooling and patterns