Director of AI/ML (P-161)

Role summary

You will lead the enterprise AI/ML and intelligent automation strategy, driving the design and operationalization of scalable AI solutions across the organization’s data platform. This role combines technical leadership, AI architecture expertise, and cross-functional collaboration to deliver machine learning, generative AI, multi-agent systems, and automation initiatives that create measurable business value.

Responsibilities

• Define and execute the enterprise AI/ML and intelligent automation strategy.
• Lead and mentor teams of AI engineers, ML engineers, and automation developers.
• Design scalable, secure, and governed AI architectures using Databricks and Microsoft technologies.
• Drive implementation of machine learning, generative AI, and multi-agent orchestration solutions.
• Oversee development and deployment of AI-powered automation initiatives using Microsoft Power Automate and Copilot technologies.
• Collaborate with Data Engineering, Reporting, and business teams to operationalize AI capabilities.
• Implement AI governance, model lifecycle management, and responsible AI best practices.
• Lead adoption of Databricks AI capabilities including MLflow, model serving, and conversational AI solutions.
• Integrate AI and automation systems with enterprise applications such as ERP, CRM, and logistics platforms.
• Establish KPIs and performance metrics to measure AI and automation impact.
• Drive continuous innovation and evaluate emerging AI technologies and frameworks.
• Communicate AI strategy, risks, and business outcomes to executive stakeholders.

Requirements – Must-haves

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (or equivalent experience).
• 10+ years of experience in AI, machine learning, automation, or related technical domains.
• 5+ years of leadership experience managing technical or engineering teams.
• Experience leading enterprise AI and automation initiatives using Databricks and Microsoft technologies.
• Strong expertise in enterprise AI architecture and machine learning platform design.
• Experience implementing generative AI and agent-based systems.
• Hands-on experience with Databricks AI capabilities including MLflow and model serving.
• Experience integrating AI capabilities with Microsoft Copilot platforms.
• Strong communication, stakeholder management, and leadership skills.
• Ability to drive scalable, secure, and governed AI solutions.

Nice-to-haves (optional)

• Experience with Microsoft Power Automate and robotic process automation (RPA).
• Experience with conversational AI platforms such as Databricks Genie.
• Experience implementing multi-agent orchestration frameworks.
• Experience integrating AI systems with ERP, CRM, or logistics platforms.
• Experience with AI-powered image or video processing technologies.
• 12–15 years of progressive experience in AI engineering or enterprise data platforms.