Senior AI Data Engineer - Healthcare AI & MLOps Leader

Sud Recruiting; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Sud Recruiting seeks a Senior AI Data Engineer in New York to architect and deploy scalable cloud-based data and AI solutions across clinical and enterprise environments. The role focuses on integrating Epic/EHR and Snowflake to support predictive, generative, and agentic AI applications, while establishing MLOps and LLMOps practices.

You will lead design, governance, and deployment with cross-functional teams.

Qualifications

• Architect and design scalable AI/ML architectures for healthcare platforms.
• Lead end-to-end AI/ML platforms with secure, highly available deployments.
• Establish MLOps/LLMOps patterns including CI/CD, monitoring, and rollback.

Responsibilities

• Architect and deploy scalable cloud-based data and AI solutions across clinical and enterprise environments.
• Lead design, governance, deployment, and optimization of AI/ML models and pipelines.
• Integrate Epic/EHR with Snowflake to enable predictive, generative, and agentic AI apps.
• Establish MLOps and LLMOps practices including CI/CD, monitoring, and rollback.
• Mentor engineers and collaborate with cross-functional teams.

Skills

AI/ML architecture design

MLOps/LLMOps

Python

Education

Bachelor's degree in CS/Engineering/Math

Master’s preferred

Tools

Snowflake

Epic

Job description

Sud Recruiting seeks a Senior AI Data Engineer in New York to architect and deploy scalable cloud-based data and AI solutions across clinical and enterprise environments. The role focuses on integrating Epic/EHR and Snowflake to support predictive, generative, and agentic AI applications, while establishing MLOps and LLMOps practices.

You will lead design, governance, and deployment with cross-functional teams.