Senior AI Engineer

Montefiore Health System; New York (NY); On-site; USD 184,000 - 230,000; Full time

Job summary

Montefiore Health System is looking for a Senior AI Engineer in Yonkers, New York. This role will leverage skills in Predictive, Generative, and Agentic AI solutions to enhance healthcare experiences. Responsibilities include leading the design and development of ML/AI platforms, collaborating with cross-functional teams, and ensuring the reliability and scalability of AI systems. The ideal candidate will have over 10 years of experience, a BS in Data Analytics, and expertise in Python and relevant ML libraries.

Qualifications

• 10+ years of experience in design, development, and support of ML/AI platforms.
• Solid understanding of statistical methods and principles.
• Experience in automating ML workflows and pipelines.

Responsibilities

• Lead design and maintenance of ML/AI platforms.
• Develop and implement cloud-based AI solutions.
• Collaborate to develop new features that meet AI governance standards.

Skills

Machine Learning

AI Solutions

Python

Statistical Methods

ML Libraries

Cloud-based AI Solutions

Education

BS in Data Analytics or related field

Tools

H2O

Snowflake

EPIC

Job description

Location: Yonkers, New York

Work Shift: Day; Work Days: MON-FRI; Scheduled Hours: 9 AM-5:30 PM; Scheduled Daily Hours: 7.5 HOURS; Pay Range: $184,000.00-$230,000.00

Montefiore is one of the nation’s leading hospitals, recognized by U.S. News & World Report. The organization is dedicated to improving health outcomes in underserved communities, providing a diverse workforce and investing heavily in data & analytics to create better patient, provider, and operational experiences.

Job Summary

The position of Senior AI Engineer within the Data and Analytics function leverages skills across Predictive, Generative, and Agentic AI solutions to improve health for a diverse community and redesign the healthcare experience. The role involves working with complex AI/ML/LLM-based solutions in a fast‑paced, rapidly evolving landscape, answering critical business and clinical questions, and supporting the mission to improve patient healthcare.

Essential Functions

• Lead the design, development, and maintenance of ML/AI related platforms and products.
• Propose, design, develop and implement cloud‑based AI solutions that ensure agility, flexibility, and scalability.
• 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 develop new features and products that meet Montefiore’s AI governance standards and policies.
• Identify and evaluate emerging technologies, tools and trends that drive ML/AI innovation and improve engineering efficiency.
• 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 environment.
• Quickly learn and adapt to new AI/ML technologies and tools as needed.
• Foster a collaborative and innovative culture, set clear goals, and mentor staff.

Qualifications

• BS in Data Analytics or related field.
• 10+ years design, development, and support of ML/AI platforms and products.
• Solid understanding of statistical methods and principles.
• Build and deploy diverse ML models (GLM, GBM, Neural Networks) and NLP solutions at scale.
• Proficient in Python and relevant ML libraries, out‑of‑the‑box LLMs, generative AI solutions, and LLMOps.
• Experience automating ML workflows and pipelines.
• Experience in AI managed services such as H2O, Snowflake Cortex, etc.
• Experience with Snowflake.
• Knowledge of healthcare, preferably in a provider domain.
• Experience with clinical data platforms like EPIC (high proficiency).

Montefiore Health System, Inc. is an equal employment opportunity employer. Montefiore Health System, Inc. will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.