Solutions Consultant jobs at Palo Alto in Australia, Adelaide

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

As the Director AI Security Research, you will lead an elite team of researchers focused on discovering and mitigating novel threats against AI systems. You will be the organization's subject-matter expert on the AI attack surface, blending deep technical research with strategic leadership. Your team's work will directly shape our product strategy, inform our detection and prevention capabilities, and establish Palo Alto Networks as the definitive leader in AI security research.

Your Impact

• Lead Advanced Research: Build and mentor a world-class applied research team focused on discovering and creating proof-of-concepts for new security vulnerabilities related to AI models, AI infrastructure, and AI-driven applications.

• Drive Protection Strategy: Partner directly with engineering and product leaders to translate research findings into tangible, customer-facing security protections. Design practical, product-level mitigations to prevent novel attacks on AI systems.

• Innovate with AI: Leverage Palo Alto Networks' security leadership to derive new insights, identify emerging threat trends, and build novel AI/ML-driven detection methodologies.

• Thought Leadership: Serve as a primary AI security subject-matter expert for the company. Publish cutting-edge research through technical blogs, white papers, research papers and conference presentations, establishing industry-wide influence.

• Cross-Functional Collaboration: Work closely with product management and engineering teams to ensure our platform is protected against the threats you discover.

• Customer & Industry Engagement: Collaborate with industry partners, the open-source community, and key customers to share findings and advance the state of AI security.

Your Experience

• Education: MS or PhD in Computer Science or a related field with a focus on AI/ML or cybersecurity is highly preferred.

• Experience: 10+ years of hands-on experience in the cybersecurity research field, with at least 3+ years in a leadership or management role.

• AI/ML Expertise: Deep practical and theoretical knowledge of modern AI systems, infrastructure, and data pipelines. Proven track record of discovering security issues related to AI systems is a major plus.

• Security Acumen: Strong understanding of the attacker mindset and proven experience in vulnerability research, offensive security, or threat detection engineering.

• Communication: Excellent written and verbal communication skills, with a strong ability to articulate highly complex technical concepts and research findings to diverse audiences, including executives and customers.

• Data-Driven: Strong proficiency in data analysis and scripting (e.g., Python) and hands-on experience with query languages and databases (SQL, KQL, etc.).

Nice to Have

• A public portfolio of research, including blog posts, conference talks, research papers or vulnerability disclosures.

• Experience with cloud security (AWS, GCP, Azure) and container orchestration (Kubernetes).

• Hands-on experience in building, training, and deploying ML models in a production environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between:: $274,400 - $290/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.