ML Ops Generative AI Engineer

We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence.

This role combines two critical focus areas (If a candidate is primarily focused in one of the two, preferred area is Gen AI Engineer) - Leadership is willing to strengthen/train in MLOps if strong enough in AI:

MLOps Engineering — building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities.

Generative AI Engineering — designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks.

Strong Python coding experience and ability to demonstrate in live coding exercise

As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization’s AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments.

#### KEY RESPONSIBILITIES

#### MLOps Engineering Responsibilities

Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management.

Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments.

Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation.

Implement scalable orchestration an