Director, Machine Learning Engineering
Core
Lead the vision, strategy, and delivery of intelligent runtime systems that power context-aware, personalized experiences across products and platforms.
Role type
Director, Machine Learning Engineering (Runtime Intelligence & Personalization)
Builds
Scalable, high-scale, low-latency runtime intelligence platforms including context orchestration, memory systems, and RAG-based architectures.
Domain
Insurance / AI/ML Platform Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Strategic thinking, distributed systems architecture, RAG and retrieval systems, real-time inference, cross-functional leadership, business acumen
Preferred skills
LLMs and generative AI, agent-based systems, observability frameworks, system optimization
Technologies
RAG, context orchestration, memory systems, real-time inference engines
Responsibilities
Define and execute roadmap for runtime intelligence capabilities, lead development of core runtime capabilities (context, memory, retrieval), establish observability standards and KPIs, oversee end-to-end delivery of platforms, build and scale high-performing teams
Seniority
Director, strategic leadership with hands-on technical oversight
