Director of AI & Data Platform
Core
Building an internal AI & Data platform to power non-engineering functions (Finance, HR, Legal, Sales, etc.) with AI-accelerated development, including MCP servers, agent runtime, and AI-native data infrastructure.
Role type
Director of AI Platform & Data (Strategy-level IC with org leadership)
Builds
Internal AI platform (MCP servers, agent orchestration, AI-native data platform, analytics layer), private LLMs, and governance frameworks.
Domain
Cybersecurity / Enterprise Internal Tools / AI Infrastructure
Deliverable
production ML models | infrastructure | product features
Required skills
Platform engineering leadership, AI/ML infrastructure design, LLM strategy (private models, fine-tuning, RAG), data engineering (lakehouse, CDC, semantic layers), agent frameworks (LangGraph, LangChain), security & governance, hybrid AI architecture.
Preferred skills
Cybersecurity domain experience, open-weight model optimization (vLLM, SGLang), enterprise CRM integration (Salesforce, SugarCRM), AI-driven revenue/HR workflows.
Technologies
LangGraph, LangChain, MCP, vLLM, SGLang, Hugging Face, NVIDIA NIM, Kubernetes, Databricks, Snowflake, Fabric, dbt.
Responsibilities
Own strategy/roadmap for AI platform pillar; scale and lead multi-team org (Orchestration, Data Eng, Analytics, Governance); build AI-native data platform with quality frameworks; reinvent analytics with agent-driven insights; define architectural patterns for AI-powered workflows; own private LLM strategy and operating model; establish governance for model access and data security; partner with Security/Legal/Product to define use cases.
Seniority
Director, hands-on IC with org leadership
