Director, AI & Machine Learning

About the Role

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.

Responsibilities

• AI Strategy & Architecture Leadership
  • Define and implement the enterprise AI architecture using Databricks AI capabilities.
  • Establish architectural standards for generative AI, machine learning models, and agent-based systems.
  • Design frameworks for multi-agent AI systems that support business workflows and decision-making.
  • Identify high-impact AI and automation opportunities across business units.
  • Align AI initiatives with the enterprise data platform and overall technology strategy.
• AI Engineering & Automation Leadership
  • Build and lead a high-performing team responsible for delivering AI and intelligent automation solutions.
  • Lead, mentor, and develop a team of AI engineers, machine learning engineers, and automation developers.
  • Establish engineering standards and best practices for AI development and automation implementation.
  • Oversee the design, development, testing, and deployment of AI and automation solutions.
  • Coordinate work across AI engineering, data engineering, reporting teams, and business stakeholders.
• Agentic AI & Generative AI Platforms
  • Implement multi-agent AI architectures for automation and operational decision support.
  • Deploy AI solutions leveraging Databricks capabilities including MLflow, vector search, and model serving.
  • Implement Retrieval Augmented Generation (RAG) architectures using governed enterprise data.
  • Lead adoption of conversational AI platforms including Databricks Genie and Microsoft Copilot integrations.
• Intelligent Automation & RPA Leadership
  • Define the enterprise strategy for robotic process automation using Microsoft Power Automate.
  • Identify business processes suitable for automation and prioritize initiatives based on operational impact.
  • Oversee the design and development of automation workflows and automated business processes.
  • Integrate AI models and agent-based systems into automation workflows to enable intelligent decision-making.
  • Establish governance, monitoring, and reliability standards for automation solutions.
  • Collaborate with business units to streamline processes and reduce manual effort through automation.
• AI Governance & Responsible AI
  • Establish policies and standards for responsible AI and intelligent automation.
  • Ensure compliance with enterprise security, privacy, and data governance policies.
  • Implement evaluation frameworks to measure AI performance, accuracy, and reliability.
  • Maintain transparency and auditability of automated and AI-driven decisions.
• Cross-Functional Collaboration
  • Collaborate with Data Engineering teams to leverage curated enterprise data for AI solutions.
  • Partner with Reporting and Analytics teams to embed AI outputs into business insights and decision tools.
  • Work with business stakeholders to translate operational challenges into AI-enabled and automated solutions.
  • Communicate AI and automation capabilities, risks, and value to both technical and non-technical audiences.
• Organizational & Professional Responsibilities
  • Adhere to all company policies and procedures, Federal and State regulations, and laws.
  • Display dedication to position responsibilities and achieve assigned goals and objectives.
  • Represent the Company in a professional manner and appearance.
  • Work effectively with co-workers, internal and external customers by sharing ideas constructively and addressing issues collaboratively.
  • Keep stakeholders informed of work progress, timelines, and issues.
  • Comply with the policies and procedures stated in the Injury and Illness Prevention Program.
  • Ensure conduct is consistent with all Compliance Program Policies when engaging in company activities.
  • Perform other duties as assigned.

Requirements

• 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.
• 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: At least 12–15 years of progressive experience in AI engineering, machine learning engineering, intelligent automation, or enterprise data platform development.
  • Preferred: Experience leading AI and automation initiatives using modern platforms such as Databricks, Microsoft Copilot, and Microsoft Power Automate.
• 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: Familiarity with Microsoft Copilot platforms and conversational AI technologies.
  • Preferred: Familiarity with Databricks AI platform capabilities including MLflow and vector search.
  • Preferred: Knowledge of vector databases, embeddings, and semantic AI architectures.
• 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: Experience implementing robotic process automation using Microsoft Power Automate.
  • Preferred: Experience with conversational AI platforms such as Databricks Genie.
  • Preferred: Experience implementing multi-agent orchestration frameworks.
  • Preferred: Experience integrating AI and automation systems with enterprise applications such as ERP, CRM, or logistics platforms.
  • Preferred: Experience with AI-based video or image processing technologies.

Physical Requirements

• Vision, hearing, speech, movements requiring the use of wrists, hands and/or fingers.
• Ability to view a computer screen for prolonged periods and sit for extended periods.
• Ability to work the hours and days required to complete the essential functions of the position, as scheduled.
• Occasionally lifts up to 20 lbs. and occasionally kneels and bends.
• Ability to travel occasionally.
• Working conditions include normal office setting.

Mental Demands

• Learning, thinking, concentration, and the ability to work under pressure, particularly during busy times.
• Ability to pay close attention to detail and work as a member of a team to ensure excellent customer service.
• Ability to interact effectively with co-workers and customers, and exercise self-control and diplomacy in customer and employee relations situations.
• Ability to exercise discretion as well as appropriate judgments when necessary.
• Proactive in finding solutions.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Discount Program
• Vision Insurance Plan
• Health Savings Account (HSA)
• Flexible Spending Account (FSA)
• Dependent Care Flexible Spending Account
• Employee Assistance Program (EAP)
• Group Life and AD&D
• Voluntary Supplemental Life Insurance Plans
• Short Term Disability
• Long Term Disability Income Protection
• 401k Profit Sharing Retirement Plan - Discretionary Match
• Discretionary Bonus
• Supplemental Insurance Plans
• Prepaid Legal/Identity Theft Plan
• Paid Holidays/Vacation/Sick Days: Seven (7) Paid Holidays, Two (2) Week Vacation, Five (5) Sick Days, and One (1) Float Day for CA, NC, and TX. All Other States Receive One Hundred Twenty (120) Hours of PTO.
• Tuition Reimbursement Program
• Notary Services
• Employee Referral Bonus
• Vendor Discount Programs
• Corporate Individual Travel Program