[Remote] Staff AI Engineer

Note: The job is a remote job and is open to candidates in USA. HCA Healthcare is seeking a highly motivated Staff AI Engineer who will play a central role in building and scaling Generative AI and Machine Learning applications. This position involves collaborating with business teams to identify opportunities, define solutions, and deliver impactful AI-enabled products while providing technical leadership and mentoring 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

Skills

• Bachelor's degree - Required
• 7+ years of experience in software engineering with a focus on ML and AI System Engineering - Required
• Advanced proficiency in Python, particularly in object-oriented programming, API development (e.g., using Flask), and working with SQL - Required
• 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 - Required
• 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 - Required
• Practical experience with large language model prompting techniques, including zero-shot, few-shot, and chain-of-thought strategies - Required
• Experience with modern Python development practices including type checking, testing frameworks, and package management - Required
• 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 - Required
• Familiarity with ML Development Lifecycle management and MLOps best practices - Required
• Exceptional leadership, communication, and interpersonal skills, with a strong commitment to mentoring colleagues and fostering a diverse, equitable, and inclusive work environment - Required
• Master's degree - Preferred
• Understanding of ML/AI platform tooling and patterns - Preferred

Company Overview