Director of AI​/ML Platform; Enterprise Databricks AI

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.

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

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.

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.

• 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.

• 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

• 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.

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.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified…