Jobs · Information Technology · Texas

Director of AI / ML Platform (Enterprise Databricks AI)

Jobot · Coppell, TX · 2 wk ago
On-siteInformation Technology$180k–$250k/yrFull-time

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

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