Senior AI Engineer

Montefiore is actively investing in its data & analytics driven solutions as a new system-level priority, and we are seeking data experts who are excited to create a tangible impact with the healthcare system. We are seeking an experienced Snowflake Database Administrator (DBA) with strong expertise in Snowflake to manage, optimize, and support our enterprise data platforms. The ideal candidate will be responsible for ensuring high availability, performance, security, and scalability of the Snowflake and AWS based SQL Server data platforms, with a strong focus on Snowflake advanced administration. This role will be responsible for administrating Montefiore's AI-ready data Lakehouse in Snowflake that houses complex data solutions supporting Montefiore's business functions. This role is also critical to scaling our data and insights capabilities, empowering teams with actionable insights, and supporting our mission to improve Patient healthcare., The position of Senior AI Engineer within the Data and Analytics function leverages their skills across Predictive, Generative, and Agentic AI solutions to improve health for a diverse community and redesign the healthcare experiences. You have the opportunity to work with complex AI/ML/LLM-based solutions in a fast-paced, rapidly evolving landscape, answering critical business and clinical questions. This role is critical to scaling our analytics capabilities, empowering teams with actionable insights, and supporting our mission to improve Patient healthcare. You will be part of our rapidly evolving high-performing team that is directly focused on tangible solutions that improve patient access, reduce clinician burnout, create optimal operations, and thoughtfully deploy data & analytics solutions., * Lead the design, development, and maintenance of ML/AI related platforms and products.

• Propose, design, develop and implement cloud-based AI solutions that ensure the agility, flexibility, and scalability of our systems.
• Drive technical design discussions and provide guidance to team members on MLOps best practices, standards and principles.
• Collaborate with and lead cross-functional teams to drive the development of new features and products, ensuring they meet the Montefiore's AI governance standards and policies.
• Identify and evaluate emerging technologies, tools, and trends that can drive ML/AI innovation and improve the efficiency and effectiveness of our engineering processes.
• Ensure reliability, scalability, and fault tolerance of AI/ML systems in production environments.
• Demonstrate high ownership and accountability for project deliverables in a fast-paced startup environment.
• Quickly learn and adapt to new AI/ML technological concepts and tools as needed.
• Foster a collaborative and innovative culture, set clear goals, and mentor staff

• BS Data Analytics
• 10+ years Design, development, and support for ML/AI related platforms and products
• Solid understanding of statistical methods and principles
• Build and Deploy a diverse set of ML models (GLM, GBM, Neural Networks) and NLP solutions at scale.
• Knowledge in Python and relevant ML libraries, out-of-the box LLMs, Generative AI solutions and LLMOps
• Automation of ML workflows and pipelines
• Experience in AI managed services like H20, Snowflake Cortex etc.
• Experience in Snowflake Knowledge in healthcare preferably in a provider domain
• Experience with clinical data platforms like EPIC etc. (High proficiency)

Montefiore is ranked among the top hospitals nationally and regionally by U.S. News & World Report. For more than 100 years we have been innovating new treatments, procedures, and approaches to patient care, producing stellar outcomes and raising the bar for academic medical centers in the region and around the world. Our work to improve health outcomes in underserved communities is unparalleled in the United States. Our workforce is among the most diverse in the US: Montefiore associates speak 60+ languages. As Montefiore has built paths to deliver lifesaving health outcomes to underserved communities, we are looking to the future of being a data driven organization and tech-enabled care delivery to create better experiences for patients, providers, and operations teams.