Required Skills & Qualifications
Bachelors or Masters degree in Computer Science, Cybersecurity, or related field.
5+ years of experience in Information Security with a focus on application and product security
Ability to evaluate AI security platforms/tools/software.
Solid understanding of: o Cloud and SaaS security models o Identity and access control concepts o Data protection and isolation mechanisms
Familiarity with up-to-date AI system components: o LLM APIs and hosting models o Agent frameworks and tool invocation o RAG pipelines and vector stores
Understanding of GenAI and LLM-specific risks, including: o Prompt injection and indirect prompt injection o Insecure output handling o Model abuse and misuse o Data poisoning and supply-chain risk
Ability to translate AI-specific risks into enterprise security language for decision-makers.




Robust research and evaluation mindset
Ability to produce explicit, defensible evaluation reports
Comfortable presenting trade-offs and risk-based recommendations
Ability to say not suitable with evidence, when required
Experience evaluating or approving third-party developer platforms or SaaS tools
Exposure to AI governance or AI risk management frameworks
Experience working with product, platform, or architecture review boards

Scope of Responsibility

• AI developer tools (e.g., coding assistants, copilots)

• AI platforms and services (LLMs, GenAI APIs, agentic platforms, RAG frameworks)

• Open-source AI tooling proposed for enterprise use

📌 Ai Security Engineer Telangana
🏢 H&R Block
📍 Telangana