Vice President of AI

Cybersecurity Software Company ($200mm+ revenue)

Position Summary

Our client is seeking a visionary Vice President of Artificial Intelligence (AI) to shape and execute the company’s next generation of AI-driven cybersecurity solutions. This executive will define how our client leverages AI to detect threats earlier, respond faster, and protect customers at scale. The VP of AI will establish a unified AI vision across product lines, data assets, and engineering processes — turning advanced models into customer-visible outcomes that strengthen digital resilience and operational efficiency. The VP of AI will build and manage a world-class team of AI engineers and data scientists, fostering a culture of excellence and continuous learning.

Key Responsibilities of the VP of AI

Strategic Vision & Leadership:

• Define an AI transformation roadmap that aligns with overarching business objectives and product vision.
• Create an AI Center of Excellence to promote best practices, governance, and talent development across company.
• Lead and nurture a high-performing team of AI engineers, machine learning specialists, and data scientists, fostering innovation and collaboration.

Product Development & Innovation:

• Oversee the design, development, and deployment of AI-powered features across product offerings (e.g., threat detection, risk scoring, data analysis, automation).
• Lead the transition to LLM-augmented workflows (e.g., retrieval-augmented generation, agentic automation, summarization, and autonomous triage).
• Establish MLOps and LLMOps practices ensuring scalable model deployment, monitoring, and retraining.
• Stay current with the latest advancements in AI, machine learning, and data science, driving research and experimentation to solve complex digital risk challenges.

  
  

  Collaboration & Data Management:

• Partner closely with product management, engineering, intelligence, and sales & marketing teams to identify AI opportunities, define requirements, and ensure successful delivery of AI solutions.
• Build and maintain a unified data architecture to ensure the availability of high-quality data essential for AI model training, validation, and deployment.

Performance & Compliance:

• Establish and monitor metrics for AI model performance in production, continuously optimizing for accuracy, efficiency, and scalability.
• Provide expert technical guidance to the AI team and the broader organization.
• Work with DevSecOps and ITSEC to ensure compliance with data protection, company security standards, and all relevant statutory and regulatory requirements.

Qualifications

• 15+ years in technology roles, with 7+ years leading AI/ML or data-science organizations at scale.
• Proven record of deploying AI or ML systems in cybersecurity, risk intelligence, or large-scale SaaS platforms.
• Expertise in machine learning, LLMs, generative AI, MLOps/LLMOps, and cloud-native AI infrastructure.
• Deep understanding of data privacy, model governance, and AI-security interdependencies.
• Advanced degree in Computer Science, Data Science, or related discipline
• Exceptional leadership, communication, and stakeholder-management skills.