Director of AI / ML Platform (Enterprise Databricks AI)
Hybrid role building and leading a new enterprise AI function from the ground up—owning GenAI, RAG, agentic systems, and automation on a modern Databricks + Microsoft stack.
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
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
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
Requirements
- 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
Benefits
- Comprehensive medical, dental, and vision coverage
- 401(k) with profit sharing
- Tuition reimbursement
- Flexible spending programs
Pay
$180,000 - $250,000 per year