Required Qualifications & Experience

- 6+ years of experience in a customer-facing technical role such as Professional Services,

Solutions Architecture, Consulting, Technical Account Management, or a related field.
- Solid foundational knowledge of cybersecurity principles and public cloud platforms,

including AWS, Azure, and/or GCP.
- Hands-on understanding of AI/ML concepts and the ML operational lifecycle (MLOps).
- Strong understanding of Large Language Models (LLMs) and their security challenges.
- Familiarity with AI/LLM security threats and techniques for identifying and mitigating

vulnerabilities, including areas such as prompt injection, model poisoning, and data leakage.
- Hands-on experience with Python and Terraform or similar scripting and Infrastructure as

Code technologies.
- Ability to troubleshoot complex technical issues involving AI/ML environments, cloud

infrastructure, APIs, and application integrations.
- Strong consulting, communication, presentation, and problem-solving skills.




- Ability to explain complex technical concepts clearly to both technical and non-technical

audiences.

Preferred Qualifications

- Direct experience in AI Security, including adversarial ML, AI red teaming, securing ML pipelines, or LLM security.
- Experience with Palo Alto Networks products, particularly Prisma AIRS, NGFW, and Strata

Cloud Manager.
- Experience with Docker, Kubernetes, or other containerization and orchestration technologies.
- Experience with REST APIs and integrating security solutions with enterprise applications.
- Familiarity with AI security frameworks and standards such as the OWASP Top 10 for LLM

Applications.
- Relevant certifications in cloud, cybersecurity, AI/ML, or related technical disciplines.

- Proven ability to work independently in customer-facing engagements and collaborate

effectively with cross-functional teams.

📌 Prisma Airs (Noida)
🏢 Trantor
📍 Noida