We are seeking an experienced AI Security Engineer/Architect between 8 to 15 Yrs to design, implement, and secure next-generation AI platforms and applications. The ideal candidate will have deep expertise in Generative AI, Large Language Models (LLMs), RAG architectures, Agentic AI systems, MCP (Model Context Protocol), and AI Security frameworks. The role involves securing AI-driven applications, implementing governance controls, and ensuring robust protection against emerging AI threats such as prompt injection, model poisoning, data leakage, jailbreak attacks, and agent exploitation.
- Design and implement security controls for AI/ML and Generative AI applications.
- Develop secure architectures for LLMs, AI Agents, MCP-enabled ecosystems, and RAG-based solutions.
- Conduct threat modeling and risk assessments for AI applications and agentic workflows.
- Implement security measures to mitigate:
- Establish secure integration patterns for Model Context Protocol (MCP) and AI agent communications.
- Design and deploy secure Retrieval-Augmented Generation (RAG) pipelines with proper access controls and data governance.
- Implement AI security monitoring, logging, detection,
and response mechanisms.
- Collaborate with AI/ML engineers, architects, and cloud security teams to build secure AI solutions.
- Develop AI governance frameworks aligning with enterprise security and compliance requirements.
- Evaluate and secure third-party foundational models, vector databases, embeddings, and agent frameworks.
- Create security standards, policies, and best practices for enterprise AI adoption.
- Experience designing and securing:
- Knowledge of LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
- Understanding of OWASP Top 10 for LLM Applications.
- Knowledge of adversarial attacks and defenses in AI systems.
- Robust understanding of MCP architecture and secure integration practices.
- Experience implementing secure communication between AI models, tools, agents, and enterprise systems using MCP.
- Knowledge of MCP authentication, authorization, and access control mechanisms.
- Hands-on experience with:
- Knowledge of Kubernetes, Docker, API security, IAM, and Zero Trust security principles.
📌 AI Solution Architect (Pune)
🏢 Candent
📍 Pune