Title- AI / GenAI Architect
Experience- 10+years
Location- NCR
Employment Type- full time

Job Description:
Security Architect with AI skills
We are looking for an experienced AI / GenAI Architect to design secure, scalable, and production-ready enterprise AI solutions across on-premises, cloud, and hybrid environments.
Responsibilities
• Define secure application architectures covering web, mobile, APIs, AI services, data stores, models, and enterprise integrations.
• Identify and mitigate traditional application vulnerabilities as well as AI-specific risks such as prompt injection, data leakage, RAG poisoning, model misuse, and excessive agent privileges.
• Design secure RAG pipelines with proper document validation, access control, retrieval security, vector-store protection, and response validation.
• Evaluate and select LLMs, embedding models, rerankers, vector databases, and graph technologies based on security, quality, scale, latency, and cost.
• Compare and design solutions using platforms such as Neo4j, Pinecone, Weaviate, Milvus, Azure AI Search, Chroma, pgvector,



or similar technologies.
• Define production deployment, MLOps/LLMOps, model monitoring, evaluation, drift detection, retraining, versioning, and rollback strategies.
• Establish Responsible AI, model governance, explainability, auditability, compliance, and human oversight.
• Stay aware of emerging AI security threats and industry incidents and translate those learnings into practical architecture and security controls.

Key Skills
• Application, API, mobile, and on-premises security.
• AI security, threat modelling, prompt-injection protection, and secure AI design.
• LLMs, RAG, embeddings, semantic search, hybrid search, GraphRAG, and AI agents.
• Vector and graph databases, including selection and architecture trade-offs.
• Data architecture, data governance, privacy, PII protection, lineage, and access control.
• MLOps/LLMOps, model deployment, model registry, monitoring, drift detection, a

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