Job Summary:

We are looking for an experienced GenAI Architect to design and lead enterprise-grade Generative AI and LLM solutions. The ideal candidate should have solid experience in RAG, Agentic AI, LLM orchestration, cloud AI platforms, vector databases, LLMOps, and AI security/governance.

Key Responsibilities:
Design scalable and production-ready GenAI/LLM architectures.
Architect RAG, Agentic AI, multi-agent workflows and context orchestration solutions.
Work with Azure OpenAI, AWS Bedrock, OpenAI, Claude, Gemini, LLaMA, Mistral and other LLM platforms.
Design solutions using Azure AI Search, Pinecone, FAISS, Weaviate and embeddings.
Define LLMOps, including model deployment, evaluation, monitoring and prompt management.
Design secure APIs, microservices and event-driven architectures.
Implement AI security, Responsible AI,



governance and compliance practices.
Lead GenAI solutions from POC to production and provide technical leadership to engineering teams.

Required Skills:

Must Have:
10+ years overall IT experience
GenAI / Generative AI / LLM
RAG
Agentic AI / AI Agents
Azure OpenAI
LLM orchestration LangChain / LangGraph / LlamaIndex
Vector databases – Pinecone / FAISS / Weaviate / Azure AI Search
LLMOps / AI evaluation / monitoring
REST APIs / Microservices
AI Security / Governance

Positive to Have:
AWS Bedrock / Google Vertex AI
MCP
Claude / Gemini / LLaMA / Mistral
Kubernetes / Docker
MLflow / LangSmith / RAGAS / DeepEval

📌 Genai Architect Generative Ai Llm Rag Agentic Ai Noida
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