Explore the three main career tracks and progression paths in AI Security
The field of AI Security offers diverse career paths that accommodate various backgrounds, skills, and interests. There are three main career tracks, each with its own focus and progression path from entry-level to executive positions.
Best for: Those with programming, data science, or technical backgrounds
Best for: Those with IT support, network, or security operations backgrounds
Best for: Those with business, legal, compliance, or risk management backgrounds
Each career track offers a clear progression path from entry-level positions to executive roles. The timeline for advancement can vary based on education, certifications, and experience, but typically follows this pattern:
Roles such as Analyst, Specialist, and Junior Engineer. Focus on learning fundamentals, supporting senior team members, and building practical experience.
Salary Range: $75,000 - $100,000
Roles such as Engineer, Consultant, and Team Lead. Focus on deeper technical expertise, project leadership, and specialized skills development.
Salary Range: $100,000 - $145,000
Roles such as Architect, Manager, and Senior Consultant. Focus on strategic planning, team leadership, and cross-functional collaboration.
Salary Range: $130,000 - $180,000
Roles such as Director, CAISO (Chief AI Security Officer), and VP of AI Security. Focus on organizational strategy, executive leadership, and industry influence.
Salary Range: $180,000 - $250,000+
Level | Position | Key Responsibilities | Required Skills |
---|---|---|---|
Entry | AI Security Analyst | Monitor AI systems, perform basic risk assessments, assist with security controls | Basic understanding of AI/ML, foundational cybersecurity knowledge, basic programming (Python) |
Entry | AI Data Security Specialist | Protect data used in AI/ML systems, implement data privacy controls, monitor for data leakage | Data structures and databases, knowledge of data privacy regulations, familiarity with encryption |
Mid | AI Security Engineer | Design and implement AI security controls, secure the AI lifecycle, conduct security testing | Strong programming skills, knowledge of AI/ML vulnerabilities, experience with security frameworks |
Mid | AI Penetration Tester | Test AI systems for vulnerabilities, develop attack scenarios, attempt model poisoning | Ethical hacking, adversarial machine learning, AI frameworks and libraries |
Advanced | AI Security Architect | Design comprehensive security architectures, develop security standards, lead security reviews | Deep understanding of AI security risks, enterprise architecture experience, leadership skills |
Executive | Chief AI Security Officer | Develop and implement security strategy, oversee operations and governance, manage budget | Executive leadership experience, strategic vision, business impact understanding |
AI Security offers diverse entry points for professionals from various backgrounds. Here's how different skills and experiences can translate into AI Security roles:
Learn more about key AI Security roles, responsibilities, and salary expectations.
Not sure which career track is right for you? Explore our audience-specific guides:
Access helpful resources to support your career journey:
Certification Pathways Learning Resources Downloadable Materials