Director of AI/ML

Education, Knowledge, Skills, and Experience

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 Knowledge:

• Advanced knowledge of artificial intelligence, machine learning, and generative AI technologies.
• Knowledge of agent-based AI architectures and multi-agent systems.
• Knowledge of robotic process automation (RPA) concepts and intelligent automation strategies.
• Understanding of enterprise AI governance, security, and model lifecycle management.

Preferred Knowledge:

• Familiarity with Microsoft Copilot platforms and conversational AI technologies.
• Familiarity with Databricks AI platform capabilities including MLflow and vector search.
• Knowledge of vector databases, embeddings, and semantic AI architectures.

Required Experience:

• 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

Preferred Experience:

• At least 12 15 years of progressive experience in AI engineering, machine learning engineering, intelligent automation, or enterprise data platform development.
• Experience leading AI and automation initiatives using modern platforms such as Databricks, Microsoft Copilot, and Microsoft Power Automate is strongly preferred.

Required Skills:

• 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.
• Strong strategic thinking and problem-solving abilities.
• Excellent verbal and written communication skills.
• Ability to translate business challenges into AI and automation solutions.

Preferred Skills:

• 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.