Job Summary
We are seeking a GenAI Architect to design, architect, and implement enterprise-scale Generative AI solutions. The ideal candidate will have expertise in LLMs, RAG, vector databases, agentic AI frameworks, cloud architecture, and CI/CD, with a robust focus on delivering scalable, secure, and production-ready AI applications.

Key Responsibilities
Design end-to-end GenAI solutions, including RAG, AI agents, copilots, and multimodal applications.
Translate business requirements into AI architectures and implementation roadmaps.
Build and optimize retrieval systems using embeddings, chunking, reranking, and vector search.
Design agentic workflows using LangChain, LangGraph, MCP, and tool-calling frameworks.
Define scalable cloud architectures and deployment patterns for AI workloads.
Implement CI/CD pipelines, containerization, monitoring, and MLOps best practices.
Ensure security, governance, compliance,



and Responsible AI standards.

Required Skills
Robust expertise in LLMs, Prompt Engineering, RAG, Fine-tuning, Embeddings, Context Management, and Hallucination Mitigation.
Experience designing enterprise AI use cases such as copilots, knowledge assistants, intelligent search, summarization, and workflow automation.
Hands-on experience with vector databases: Pinecone, FAISS, Weaviate, Chroma, Milvus, Azure AI Search, or Elasticsearch Vector Search.
Experience with LangChain, LangGraph, MCP, Multi-Agent Systems, Memory, Planning, and Guardrails.
Solid knowledge of cloud platforms (Azure, AWS, or GCP) and AI/ML services.
Expertise in Docker, Kubernetes, API deployments, CI/CD, DevOps/MLOps, Observability, and Cost Optimization.

📌 Gen Ai Architect Uttar Pradesh
🏢 IRIS SOFTWARE
📍 Uttar Pradesh