Director of AI & Machine Learning (Hybrid | Direct Hire)
Location: Flower Mound, TX (Hybrid - must reside in DFW area)
Compensation: Target salary up to $250,000
Please Note: No C2C, agency referrals or sponsorships available
Overview
We are seeking a hands-on Director of AI & Machine Learning to lead the strategy, architecture, and delivery of enterprise AI and intelligent automation initiatives. This role will build and scale a high-performing team while driving the development of machine learning, generative AI, and automation solutions across a modern data platform.
This is a working leadership role-ideal for someone who can operate at both the strategic and technical level, with deep expertise in AI integrations and platforms like Databricks.
Key Responsibilities
AI Strategy & Architecture
- Define and execute enterprise AI and automation strategy
- Design scalable AI architectures leveraging modern data platforms
- Establish standards for machine learning, generative AI, and agent-based systems
- Identify high-impact AI use cases that drive business value
Team Leadership & Delivery
- Build, mentor, and lead a team of AI engineers and automation developers
- Establish engineering best practices across AI/ML and automation initiatives
- Oversee end-to-end delivery of AI solutions from concept to deployment
Generative AI & Advanced Architectures
- Lead development of generative AI and multi-agent systems
- Implement Retrieval Augmented Generation (RAG) and enterprise AI solutions
- Drive adoption of conversational AI and modern AI platforms
Automation & RPA
- Define and lead enterprise automation strategy
- Identify and prioritize automation opportunities across business functions
- Integrate AI-driven decisioning into automation workflows
Governance & Responsible AI
- Establish AI governance, security, and compliance frameworks
- Implement model evaluation, monitoring, and lifecycle management practices
- Ensure transparency and auditability of AI-driven decisions
Cross-Functional Collaboration
- Partner with data, analytics, and business teams to operationalize AI
- Translate business challenges into scalable AI-driven solutions
- Communicate technical strategy to both technical and non-technical stakeholders
Required Qualifications
- 10+ years of experience in AI, machine learning, or related technical fields
- 5+ years of leadership experience managing technical teams
- Proven experience building and deploying enterprise AI solutions
- Strong expertise in AI/ML architecture, generative AI, and automation
- Hands-on experience with Databricks and AI platform integrations
- Experience designing scalable, production-grade AI systems
- Strong communication and leadership capabilities
Preferred Experience
- Experience with Microsoft AI ecosystem (Copilot, Power Platform, etc.)
- Background in enterprise data platforms and large-scale environments
- Experience with multi-agent systems or advanced AI orchestration
- Exposure to automation tools and RPA platforms
- Experience integrating AI with enterprise applications (ERP, supply chain, etc.)
Additional Details
- Hybrid schedule (must be local to DFW area)
- Direct hire opportunity with executive-level visibility
- Opportunity to build and lead a newly established AI function
- High-impact role driving enterprise AI and automation strategy
#SNIT