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# Director of AI / ML Platform (Enterprise Databricks AI)

- **Company:** Jobot
- **Location:** Coppell, TX, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Audit Trail, Data Architecture, Information Engineering, Machine Learning, Role-Based Access Control, Azure Machine Learning, Search Technologies, Enterprise Data Management, Feature Engineering, Microsoft Power Automate, Large Language Models, Generative AI, Build Management, Data Lakes, AI Platforms, Machine Learning Operations, Virtual Agents, Databricks
- **Published:** August 7, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2914822949-2

## About the Role

This is a production enterprise environment. Candidates should have experience designing AI solutions that include:

AI governance and Responsible AI
Auditability and lineage
RBAC and enterprise security
Model lifecycle management
Production monitoring and evaluation
Governed enterprise data supporting AI workloads
Ideal Background
10+ years in AI, Machine Learning, Enterprise Data Platforms, or related engineering disciplines.
Experience architecting enterprise AI platforms from the ground up.
Strong hands-on Databricks experience.
Experience building and leading AI engineering teams.
Ability to discuss architecture in depth with senior technical leadership.
Strong communication skills with both executive stakeholders and engineering teams.

## Description

Hybrid - Build, lead a new enterprise AI function from the ground up-owning GenAI, RAG, agentic systems, and automation on a modern Databricks + Microsoft stack., Director of AI / ML Platform (Enterprise Databricks AI)

We're building the next generation of enterprise AI capabilities, and this is a rare opportunity to lead both the architecture and delivery of a modern AI platform built on Databricks and the Microsoft ecosystem.

This is a hands-on leadership role for someone who has designed and built enterprise AI platforms-not just AI strategy. You'll define the architecture, lead a growing AI engineering team, and deliver production-grade AI solutions that are secure, governed, and scalable.

This is a builder-first leadership opportunity for someone who enjoys designing enterprise AI platforms, solving complex technical challenges, and creating scalable AI capabilities that deliver measurable business impact.

What You'll Do
Lead the enterprise AI strategy, architecture, and technical roadmap.
Design and build production AI/ML platforms using Databricks as the core enterprise AI platform.
Architect and deploy production-grade LLM, RAG, Agentic AI, and intelligent automation solutions.
Build and scale an AI engineering organization while establishing engineering standards and best practices.
Partner with Data Engineering and business leaders to operationalize AI solutions that deliver measurable business value.
Drive adoption of AI capabilities including Microsoft Copilot, Power Automate, and intelligent automation.
Technical Environment

The successful candidate should have hands-on experience with enterprise AI development using Databricks, including:

Delta Lake / Lakehouse architecture
Unity Catalog
MLflow (experiment tracking, Model Registry, lifecycle management)
Feature engineering
Model serving and production monitoring
Vector Search
RAG architectures
Databricks Genie / Mosaic AI (or similar GenAI capabilities)
End-to-end AI workflow orchestration
Production AI Expectations


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