AI Security Engineer

### AI Security Engineer #### About the Role This role involves working directly with clients to secure their AI implementations within applications and environments. You will implement and configure AI security tools, define robust security processes, and build essential guardrails to protect AI systems from emerging threats. Your day-to-day will focus on practical application of AI security principles to enhance client posture and operational integrity. #### Key Responsibilities * Implement and operate AI security platforms such as Prisma AIRS and CrowdStrike AIDR to establish robust AI posture and operational security for client environments. * Develop and integrate security controls for Large Language Models (LLMs) and Machine Learning Operations (MLOps) pipelines, addressing risks like prompt injection, data poisoning, and model evasion. * Conduct technical security assessments of AI/ML systems and applications, identifying vulnerabilities and recommending pragmatic mitigation strategies. * Design and deploy AI security guardrails, policies, and best practices to ensure responsible and secure AI deployment within client infrastructure. * Collaborate with client development, MLOps, and security teams to embed security-by-design principles throughout the AI development lifecycle. * Utilize Python for scripting security automation, developing custom analysis tools, and performing data analysis in support of AI security initiatives. * Perform prompt engineering analysis to identify, simulate, and mitigate adversarial attacks against LLM-based applications. * Contribute to the development and implementation of Trusted AI frameworks and AI governance strategies for diverse client engagements. #### Requirements * 1-3 years of experience in AI security, cybersecurity engineering, or a related technical domain. * B.Tech or BCA degree in Computer Science, Information Technology, or a related field. * Demonstrable experience with Large Language Models (LLMs), AIOps principles, and MLOps security considerations. * Understanding of common AI/ML vulnerabilities, attack vectors, and defensive techniques. * Proficiency in identifying and addressing security risks across the AI lifecycle, from data ingestion to model deployment. #### Nice-to-Have * Proficiency in Python for security scripting, automation, and data analysis. * Practical experience with prompt engineering techniques and adversarial prompt mitigation. * Foundational knowledge of infrastructure security principles, including cloud security (AWS, Azure, GCP) and container security. * Familiarity with threat modeling for AI/ML systems and frameworks like MITRE ATLAS. #### Benefits * Health insurance for the employee and dependents * Professional security-certification reimbursement (e.g., CCSP, CCSK) * Annual learning and skill-development allowance * Sponsored conference / training attendance * Flexible work arrangements ### Skills LLM, AIOps, MLOps, Python, prompt engineering, infrastructure security ### Qualification B.Tech or BCA