Director of AI Machine Learning

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