AI Subject Matter Expert 1

Responsibilities

Define strategic vision for AI-enhanced security capabilities aligned with organizational risk posture.
Identify and evaluate AI/ML use cases for cyber defense, threat detection, incident response, and security operations.
Assess emerging AI technologies for applicability to security challenges including anomaly detection, threat intelligence, and automated response.
Stay current on AI threat landscape, including adversarial AI and AI-powered attacks.
Bridge communication between technical teams, security operators, and business stakeholders
Evaluate complex security challenges and identify AI-appropriate solutions
Translate cybersecurity requirements into AI solution specifications.
Evaluate AI/ML platforms, tools, and vendors for security applications.
Define and advocate for AI prototyping or piloting initiatives as risk reduction measures.
Collaborate with data science, security operations, and infrastructure teams on solution architecture.
Develop comprehensive roadmaps for AI cybersecurity initiatives with clear milestones and dependencies.
Ensure AI roadmaps align and tie into broader organizational roadmaps and strategies.
Create detailed project schedules, resource plans, and budget estimates.
Manage cross-functional implementation teams including security analysts, data scientists, and engineers.
Track project progress, identify risks, and implement mitigation strategies
Facilitate stakeholder communication and executive reporting on AI security initiatives.
Coordinate with stakeholders and workstreams to address use cases and inform strategy.
Ensure AI implementations meet security, privacy, and compliance requirements.
Understand model training, validation, and deployment pipelines in security contexts.
Conduct readiness assessments for AI adoption within security operations.
Design change management strategies for AI tool integration into existing workflows.
Develop success metrics and KPIs for AI security implementations.
Create documentation, training materials, and knowledge transfer programs.

Minimum Qualifications

Bachelor's degree in Engineering, Computer Science, Cybersecurity, Information Systems, or related field (Master's Degree preferred)
10+ years of directly relevant experience
5+ years of experience in cybersecurity or related technical roles
3+ years working with AI/ML technologies or data-driven security solutions
3+ years in project/program management or technical leadership roles
Ability to envision long-term AI security capabilities and create actionable paths forward
Understanding of machine learning fundamentals, neural networks, natural language processing, and AI model lifecycle
Adaptability and ability to navigate rapidly evolving AI and threat landscapes
Ability to influence cross-functional teams without direct authority
Strong knowledge of security operations, threat landscape, defense frameworks (MITRE ATT&CK), SIEM/SOAR platforms, and security architecture
Familiarity with use cases such as behavioral analytics, threat hunting, malware analysis, phishing detection, and vulnerability management
Proven experience developing roadmaps and managing complex technical projects
Proficiency with project management methodologies (Agile, Waterfall, hybrid approaches)
Strong skills in resource planning, schedule development, and stakeholder management
Experience with project management tools (Jira, MS Project, Asana, or similar)

Preferred Qualifications

Experience Securing AI system, using AI in defensive system operations (e.g., SOC), and thwarting AI enabled attacks
Background in data engineering, security analytics, or threat intelligence
Familiarity with cloud security platforms (AWS, Azure, GCP)
Knowledge of AI governance, ethics, and responsible AI principles
Understanding of regulatory requirements (GDPR, CCPA, industry-specific frameworks)
Experience with automation and orchestration platforms
CISSP, CISM, PMP, PMI-ACP, or AI/ML certifications