Director, Enterprise AI & Databricks Platforms; GenAI​/Microsoft AI

Overview

Director of AI / Generative AI Platform (Greenfield Build). This is a founding-level leadership role responsible for standing up the AI function from the ground up, serving as both architect and hands-on builder to define the platform, deliver early production use cases, and scale an AI engineering organization over time.

• 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

• 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)

• 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) and Microsoft AI stack (Azure ML, Copilot, Power Automate)
• Experience delivering AI-driven solutions tied to measurable business outcomes (automation, operational efficiency, decision support)

• Agentic AI / multi-agent systems (Lang Chain, Lang Graph, Auto Gen)
• 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)

We’re a growing, innovation-focused organization investing heavily in enterprise data and AI capabilities. Our technology environment centers on a modern data platform as we scale advanced AI solutions, including generative AI, multi-agent systems, and intelligent automation to drive measurable business outcomes. This is about operationalizing AI at scale, not research.

• Greenfield opportunity to build enterprise AI capability from scratch
• 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.