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Job Summary:
FFF Enterprises is a company focused on delivering innovative solutions, and they are seeking a Director of AI & Machine Learning to lead the strategy and execution of enterprise AI capabilities. The role involves building a team to deliver AI and automation solutions while ensuring compliance with governance and security standards.
Responsibilities:
• Lead the development and execution of enterprise AI and intelligent automation strategy.
• 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.
• 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.
• Lead the design and implementation of modern AI architectures including generative AI and agentic systems.
• 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.
• 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.
• 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.
• 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.
Qualifications:
Required:
• 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.
• 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.
• 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.
• 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:
• 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.
• 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.
• 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.
Company:
FFF Enterprises is a Pharmaceuticals supplier of critical-care biopharmaceuticals, plasma products and vaccines. Founded in 1988, the company is headquartered in Temecula, USA, with a team of 501-1000 employees. The company is currently Late Stage.