Associate Director, AI & ML Ops Lead -- Kite Commercial
Core
Design, develop, and deploy production-grade AI/ML infrastructure and agentic workflows to drive commercial efficiency and patient identification for Kite's global CGT portfolio.
Role type
Senior IC MLOps Lead (Agentic AI & Data Engineering)
Builds
Production ML models, agentic AI workflows, and analytics infrastructure on AWS and Databricks for commercial sales teams.
Domain
Commercial analytics in Cell & Gene Therapy (CGT) and specialty pharmaceuticals.
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, CI/CD pipelines, model lifecycle management, data pipeline development, prompt engineering, agent system design, HIPAA/GDPR compliance, AWS, Databricks, Spark, Airflow, MLflow.
Preferred skills
TypeScript/Go/Rust, TDD, secrets management, Veeva CRM, Salesforce, IQVIA data, multi-agent orchestration, high-throughput inference.
Technologies
AWS, Databricks, Spark, Airflow, MLflow, GitHub Actions, Docker, SageMaker, Veeva, Salesforce, Microsoft 365, ServiceNow.
Responsibilities
Develop and maintain ML pipelines from experimentation to production; design robust batch and streaming data workflows; implement monitoring for model performance and data drift; decompose complex business workflows into agent-executable workstreams; design prompt architectures and instruction patterns; implement version control and audit trails for AI/ML outputs; collaborate with data scientists and commercial stakeholders to accelerate analytics delivery.
Seniority
Senior, hands-on IC with leadership/accountability for team development.
