Required Qualifications & Experience
6+ years of experience in a customer-facing technical role such as Skilled 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.
Solid 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