Job Description
Experience intosoftware, architecture, data, Security or AI engineering experience. Experience designing enterprise-grade AI solutions, preferably in regulated, government, banking, telecom, or other high-security environments. Experience taking AI solutions from data ingestion and model selection through deployment, monitoring, governance & production operations in a secure manner. Key Skills
• Application, API, mobile, and 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, and evaluation.
• Model selection, benchmarking, hallucination/groundedness evaluation, and production quality controls.
• IAM, RBAC/ABAC, encryption, secrets management, network isolation, and secure SDLC.
• Responsible AI, model governance, bias, explainability, compliance, and auditability.
• Kubernetes/OpenShift, containers, GPUs, model serving, and enterprise observability.
• Solid communication, technical leadership, and architecture decision-making.

Skills:
llm,ai security,rag implementation,architecture,security

📌 AI Security Architect (Bengaluru)
🏢 Arohana Tech Solutions Private
📍 Bengaluru