Associate Director, RDU IT - MLOps
Core
Architect and scale secure MLOps and LLMOps capabilities to enable production-grade AI, agentic AI, and generative AI workloads for patients and the business.
Role type
Associate Director, MLOps/LLMOps Platform Lead
Builds
Enterprise AI platform, reusable frameworks, reference architectures, APIs, and self-service MLOps/LLMOps pipelines
Domain
Healthcare IT, Machine Learning Operations, Large Language Model Operations
Deliverable
production ML models
Required skills
MLOps/LLMOps architecture, Kubernetes, Docker, Terraform, Python, PyTorch/TensorFlow, Vector databases, RAG patterns, LangChain/LlamaIndex, CI/CD orchestration, Cloud platforms (AWS/Azure/GCP), Model registry, Feature stores
Preferred skills
Pharmaceutical industry experience, Master's degree, NLP, Deep learning, Optimization
Technologies
Kubernetes, Docker, Terraform, Terragrunt, GitHub Actions, Jenkins, Bitbucket, Airflow, Flyte, Kubeflow, MLFlow, Sagemaker, Azure, AWS, GCP, LangChain, LlamaIndex, Vector databases
Responsibilities
Define platform vision, roadmap, and engineering delivery for AI/ML platform; Ensure platform security, resilience, scalability, and cost-effectiveness; Govern engineering standards, secure CI/CD, and production support; Lead solution design and trade-offs across security, data, and performance; Drive FinOps and unit economics for AI workloads; Embed responsible AI, governance, and compliance controls; Champion AI-enabled ways of working across IT operations.
Seniority
Senior, hands-on IC with leadership responsibilities