Director of AI​/ML Platform; Enterprise Databricks AI

Director of AI / ML Platform (Enterprise Databricks AI)

6917371

Experience: Director

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

Job Details

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.

• 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.

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

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

• 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.

We’re a growing, innovation‑focused organization investing heavily in enterprise data and AI capabilities. Our technology environment is centered around a modern data platform, and we’re now scaling advanced AI solutions, including generative AI, multi‑agent systems, and intelligent automation to drive measurable business outcomes.

This is not a research role, this is about operationalizing AI at scale.

• 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.