Vice President, Agentic Systems

Accountabilities: The Vice President, Agentic Systems will provide strategic and technical leadership for the development of next-generation AI agent systems. This role requires close collaboration across data science, engineering, cybersecurity, and business teams to define vision, accelerate innovation, and deliver scalable solutions. Lead the research, development, and deployment strategy for advanced agentic systems and AI-driven workflows. Define the long-term vision, roadmap, and success metrics for agent-based technologies. Build and lead high-performing technical teams focused on AI research, machine learning, and applied systems development. Partner with cybersecurity experts to understand analyst workflows and operational challenges, translating them into AI-enabled solutions. Develop systems that automate complex security processes using AI agents and coordinated agent workflows. Drive research into new approaches for agentic planning, reasoning, and intelligent automation. Collaborate with engineering, data science, managed services, and executive stakeholders to align technical initiatives with business priorities. Establish operational frameworks, governance practices, and scalable processes for agentic systems. Influence technical strategy and innovation across the organization through strong leadership and communication. Represent AI initiatives with senior leaders and technical teams, building alignment across diverse stakeholders. Requirements: The ideal candidate is an experienced AI and data science executive with a strong background in machine learning, technical leadership, and building innovative systems. They should demonstrate the ability to define strategy, lead complex initiatives, and communicate effectively across technical and executive audiences. 12+ years of experience in data science, computational research, machine learning, or related technical disciplines. Proven experience leading high-impact technical teams and delivering advanced AI solutions. Demonstrated expertise in developing AI agents, agentic systems, or intelligent automation platforms. Experience managing objective-driven data science initiatives from concept through implementation. Strong understanding of AI research methodologies, machine learning systems, and emerging technologies. Familiarity with cybersecurity concepts, security operations, or threat research environments is highly valuable. Ability to establish technical vision, influence architecture decisions, and drive innovation. Exceptional leadership presence with the ability to engage engineers, researchers, executives, and business stakeholders. Strong communication, collaboration, and strategic thinking skills. Ability to operate effectively in fast-paced, ambiguous, and highly collaborative environments. Benefits: Competitive base salary range of $320,000–$370,000 annually, plus variable compensation, equity, and benefits. Remote work flexibility within the United States. Comprehensive physical and mental wellness programs. Competitive vacation and paid time-off policies. Paid parental and adoption leave. Professional development and career growth opportunities. Employee resource groups, community initiatives, and volunteer opportunities. Inclusive workplace culture focused on innovation and collaboration. Opportunity to influence the future of AI-powered cybersecurity solutions at global scale.