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

Director of AI / Generative AI Platform (Greenfield Build)

Salary: $180,000 - $250,000 per year.

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.

• 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)
  • 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)

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.