Director of AI / ML Platform (Enterprise Databricks AI)

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. 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.

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.

This Jobot Job is hosted by: Liz Valdez
Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume.
Salary: $180,000 - $250,000 per year

A bit about us:

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.

Why join us?

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.

Job Details

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

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.

Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.

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