Director, Enterprise AI & Databricks Platforms (GenAI / Microsoft AI)

Director of AI / Generative AI Platform (Greenfield Build)

We are launching a greenfield enterprise AI platform focused on building and deploying Generative AI, agent-based systems, and intelligent automation into real production environments.

This is a founding-level leadership role responsible for standing up the AI function from the ground up. You will serve as both architect and hands-on builder, defining the platform, delivering early production use cases, and scaling a new AI engineering organization over time.

This is a builder-first role in a new function - you will be directly responsible for building and shipping production AI systems.

What You'll Do Architect and deliver a greenfield enterprise AI platform Design and deploy production-grade RAG, LLM, and agent-based systems Build and operationalize AI use cases tied to real business impact (e.g., supply chain, operations, automation) Stand up and scale an initial AI engineering team (~3 engineers) Define enterprise AI architecture using Databricks + Microsoft ecosystem Own end-to-end AI delivery: architecture development deployment iteration Drive adoption of Copilot, RPA, and intelligent automation across the enterprise Partner with business stakeholders to translate operational challenges into AI solutions

Enterprise AI / Generative AI architecture with hands-on production build experience Proven experience building and deploying LLM, RAG, or agent-based systems in production Strong ability to design end-to-end AI systems (architecture + implementation) Experience with Databricks + MLflow (or equivalent AI platforms) Experience building or scaling AI engineering teams Strong technical depth-this is a builder-first role, not strategy-only

Required Experience 10+ years in artificial intelligence, machine learning, automation, or related technical fields Demonstrated experience designing and deploying AI/ML or Generative AI systems in production environments Experience owning technical delivery of AI systems and leading AI/ML engineering execution (hands-on leadership)

Preferred Experience 12-15+ years of progressive experience across AI engineering, ML engineering, intelligent automation, or enterprise data platforms Experience building or contributing to enterprise AI platforms or greenfield AI initiatives Hands-on experience with modern AI ecosystems such as: Databricks (MLflow, model serving, vector search) Microsoft AI stack (Azure ML, Copilot, Power Automate) Experience delivering AI-driven solutions tied to measurable business outcomes (automation, operational efficiency, decision support)

Nice-to-Have Agentic AI / multi-agent systems (LangChain, LangGraph, AutoGen) Microsoft Copilot integration experience Power Automate / RPA exposure Supply chain, logistics, or enterprise operations AI use cases Vector databases / embeddings (Pinecone, Weaviate, FAISS) ERP / CRM AI integrations (SAP, Salesforce, Dynamics)

Pulled from the full job description

• Tuition reimbursement
• 401(k)
• Health insurance
• Vision insurance
• Dental insurance
• Profit sharing

Full job description

Experience: Director Salary: $180,000 - $250,000 per year, High ownership role spanning architecture, execution, and early team leadership Direct impact on operational efficiency (supply chain + business automation use cases) Modern AI stack centered on Databricks + Microsoft Copilot ecosystem Visible role working directly with senior leadership

Comprehensive benefits including medical/dental/vision, 401(k) with profit sharing, tuition reimbursement, and flexible spending programs.

#operations #mlflow #power-automate #microsoft-copilot #databricks-platform #enterprise-ai-ml-architecture #generative-ai-and-llm-implementation #intelligent-automation-rpa #ai-governance-and-model-lifecycle #multi-agent-systems #azure-microsoft-ai-stack #data-platform-integration #production-ai-systems #greenfield-ai-development #enterprise-ai-deployment #ai-platform-ownership #rag-systems-in-production #llm-system-architecture #scalable-ai-infrastructure #tier3