[Hiring] AI Cybersecurity Solutions Director @Booz Allen Hamilton

Role Description

Serve as a technical evangelist and strategic advisor on the application of AI and machine learning to enterprise cybersecurity. Champion the vision for AI‑enabled security capabilities, including:

• Threat detection
• Security operations automation
• Product and application security including identity intelligence
• Data protection
• Adversarial AI defense
• Secure AI/LLM deployment

Engage CISOs and senior security leaders to translate emerging AI capabilities into practical, measurable security and risk‑reduction outcomes. Partner with account, engineering, and delivery teams to:

• Shape solution frameworks
• Guide technical roadmaps
• Ensure offerings address real-world enterprise challenges

Drive strategic growth of the AI cybersecurity portfolio by:

• Identifying emerging market opportunities
• Shaping high‑impact use cases
• Influencing investment priorities

Collaborate with leadership to:

• Refine go‑to‑market messaging
• Strengthen value propositions
• Guide early‑stage opportunity shaping

Build strong relationships within the enterprise security ecosystem to understand evolving customer needs and ensure the company’s capabilities stay aligned with the future of AI‑powered cybersecurity. Represent the organization at industry events and executive forums.

Qualifications

• 12+ years of experience in cybersecurity, enterprise technology, consulting, or technical advisory roles including engaging with senior stakeholders
• 3+ years of experience in shaping how AI/ML is applied to security problems
• Experience in cybersecurity concepts, architectures, and operations within large enterprises
• Experience advising or influencing CISO‑level audiences
• Ability to lead credible technical and executive conversations
• Ability to translate complex technical topics into clear business and risk implications
• Bachelor's degree

Requirements

• Experience with working at a cybersecurity product or services company selling into commercial enterprise
• Experience working with and relationships across financial services, manufacturing, retail or CPG, healthcare, or energy or utilities market
• Knowledge of modern security stacks, such as SIEM/SOAR, EDR/XDR, IAM, data security, or cloud security, and where AI is being adopted across it
• Knowledge of emerging AI-security topics: securing enterprise AI/LLM deployments, model risk, and AI governance
• Knowledge of enterprise regulatory and compliance drivers, such as NIS2, SEC cyber disclosure, or sector-specific frameworks
• Master's degree

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program for exceptional performance