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 modern 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 clear, 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