Gen AI Security Engineer
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Office
Location: Gurgaon • India
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Tech Stack
About the role
- Assess LLM/GenAI applications for security risks including prompt injection, data leakage, model abuse, and hallucination risks
- Evaluate AI/ML pipelines, RAG workflows, and API‑driven LLM integrations for vulnerabilities
- Support secure agent design, misuse prevention controls, and guardrail implementation
- Review AI system telemetry, logs, and monitoring insights to detect anomalies or unsafe behaviours
- Conduct threat modelling, risk assessments, and scenario‑based adversarial testing for GenAI workloads
- Evaluate API security, data protection, and identity controls across AI applications
- Contribute to security documentation, governance guidelines, and responsible AI usage standards
- Review cloud configurations and enforce secure access, IAM, logging, monitoring, and remediation controls
- Work with engineering teams to ensure AI workloads adhere to cloud security best practices
- Analyze cloud‑native AI service integrations for misconfigurations or exposure risks
Requirements
- 4–7 years of experience in Cybersecurity, Application Security, Cloud Security, or SOC/IR, with exposure to AI/ML workloads
- Strong understanding of LLMs, prompt engineering basics, GenAI risks, and threat vectors
- Experience with at least one cloud platform (AWS preferred) in a security capacity
- Familiarity with AI‑related risks such as prompt injection, data exfiltration, model manipulation, hallucinations, and access misuse
- Hands‑on exposure to security monitoring tools, API security, logging, and cloud‑native detection
Benefits
- Comprehensive wellness benefits including health checks
- Telemedicine
- Insurance with top-ups
- Elder care
- Partner coverage or new parent support via flexible work
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
CybersecurityApplication SecurityCloud SecurityAI/ML workloadsLLMsprompt engineeringthreat modellingrisk assessmentsAPI securitycloud-native detection