Director of Enterprise AI
Core
Lead the enterprise AI strategy and build the data foundation (knowledge graph, semantic layer, retrieval, trust layer) to enable autonomous multi-agent systems across the business.
Role type
Director of Enterprise AI (Strategy & Architecture)
Builds
Agentic AI solutions, enterprise AI gateway, knowledge graph, semantic layer, and data trust layer.
Domain
Enterprise AI, Agentic Systems, Data Infrastructure
Deliverable
production ML models
Required skills
Enterprise AI strategy, multi-agent system architecture, LLM orchestration, knowledge graph design, data governance/trust layer, team leadership, executive communication
Preferred skills
Experience with iPaaS/data fabric companies, dbt Semantic Layer, open-source AI infrastructure contributions
Technologies
Python, TypeScript, SQL, Snowflake, Redshift, Kafka, Airflow, Anthropic Claude, OpenAI, Google Gemini, Llama, Mistral, Qwen, vLLM, Ollama, LiteLLM, Portkey, LangChain, LangGraph, CrewAI, Pinecone, Qdrant, LangSmith
Responsibilities
Develop and implement the AI strategy to transform the company into an AI-first enterprise; Drive AI solutions for front/back-office processes using LLMs and RAG; Set architecture for autonomous and multi-agent systems; Define guardrails and evaluation standards for agents; Own the model strategy across frontier and open-weight models; Build and govern the enterprise AI gateway; Define reference architecture for knowledge graph and semantic layer; Lead batch and real-time pipelines for AI-ready data; Mentor and grow a distributed AI and data engineering team.
Seniority
Director, hands-on IC with management responsibilities
