Director, Enterprise AI Platform (Databricks)

LeoForce; Coppell (TX); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Medical/dental/vision coverage

401(k) with profit sharing

Tuition reimbursement

Flexible spending programs

Job summary

LeoForce is seeking a Director of AI/ML Platform to lead the architecture and delivery of a modern AI platform built on Databricks and the Microsoft ecosystem. This hands‑on leadership role involves defining the architecture, guiding an AI engineering team, and delivering production‑grade AI solutions that are secure, governed, and scalable.

The role focuses on building enterprise AI capabilities, including governance, lifecycle management, and the adoption of Copilot and Power Automate, to

Qualifications

• 10+ years in AI, Machine Learning, Enterprise Data Platforms, or related engineering disciplines.
• Strong hands‑on Databricks experience.
• Experience building and leading AI engineering teams.
• Ability to discuss architecture in depth with senior technical leadership.
• Excellent communication with executive stakeholders and engineering teams.

Responsibilities

• 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.

Skills

Leadership

AI architecture

Data platforms

Team building

Executive communication

Tools

Databricks

MLflow

Delta Lake

Unity Catalog

Job description

LeoForce is seeking a Director of AI/ML Platform to lead the architecture and delivery of a modern AI platform built on Databricks and the Microsoft ecosystem. This hands‑on leadership role involves defining the architecture, guiding an AI engineering team, and delivering production‑grade AI solutions that are secure, governed, and scalable.

The role focuses on building enterprise AI capabilities, including governance, lifecycle management, and the adoption of Copilot and Power Automate, to