Director of AI/ML

Title:  Director of AI/ML, hands-on
Location:  Flower Mound, TX, Hybrid 2 days onsite (will not go in every week, just need to be willing)
Type:  Direct Hire
Salary:  220 – 240K
 
Position Summary
The Director of AI/ML leads the strategy, architecture, and delivery of enterprise artificial intelligence and robotic process automation (RPA) capabilities across the organization’s data platform. This role is responsible for building and leading a team of AI engineers and automation developers delivering machine learning, generative AI, multi-agent systems, and intelligent automation solutions. The Director partners closely with Data Engineering, Reporting, and business teams to operationalize AI and automation capabilities using Databricks and Microsoft technologies. This role ensures solutions are scalable, secure, and governed while delivering measurable operational efficiency and business value.

Manager needs someone that can roll up their sleeves and do the hands-on work.  He will be a team of one initially with approval to add two to the team.  It's going to be a new function on the team so think a bit of start-up mode. 
 
Required Education:
Bachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or four (4) years relevant experience in lieu of degree.
 
Required Experience:

Management wants someone with strong Databricks (but does not have to develop in it).

• At least 10 years of experience in artificial intelligence, machine learning, automation, or related technical roles, including 5 years of leadership experience managing technical teams
• Experience leading AI and automation initiatives using modern platforms such as Databricks, Microsoft Copilot, and Microsoft Power Automate(is strongly preferred).
• Strong leadership and team management capabilities.
• Expertise designing enterprise AI architectures and machine learning platforms.
• Experience implementing generative AI and agent-based systems.
• Experience with Databricks AI capabilities including MLflow and model serving.
• Experience integrating AI capabilities with Microsoft Copilot platforms.

• Experience implementing robotic process automation using Microsoft Power Automate.
• Experience with conversational AI platforms such as Databricks Genie.
• Experience implementing multi-agent orchestration frameworks.
• Experience integrating AI and automation systems with enterprise applications such as ERP, CRM, or logistics platforms
• Experience with AI-based video or image processing technologies.
• At least 12–15 years of progressive experience in AI engineering, machine learning engineering, intelligent automation, or enterprise data platform development.