Senior Architect : AI

Senior AI Architect (GenAI, LLM, Agentic Systems)Experience: 10+ years overall, 3–5+ years in hands‑on AI/LLM/GenAI We are looking for a Senior AI Architect in India with strong hands‑on experience in Generative AI (GenAI), Large Language Models (LLMs), agentic AI systems, and enterprise‑scale retrieval architectures.This role focuses on building production‑ready GenAI solutions, including RAG pipelines, LLM‑powered chatbots, multi‑agent AI workflows, and LLM orchestration using LangChain and LangGraph.You will play a key role in defining AI architecture, GenAI strategy, and enterprise AI transformation initiatives.Key Responsibilities – Generative AI & LLM ArchitectureArchitect and deliver Generative AI solutions using LLMs, RAG architectures, and agentic AI frameworksBuild end‑to‑end GenAI pipelines for:Retrieval‑Augmented Generation (RAG)LLM‑based search and conversational AIAutonomous agents and multi‑agent systemsDevelop and optimize LLM orchestration workflows using LangChain, LangGraph, and similar frameworksDesign and scale enterprise retrieval systems, including:Embeddings generationIntelligent chunking strategiesVector indexing and semantic searchReranking for accuracy and relevanceWork hands‑on with vector databases such as Pinecone, PGVector, Azure AI Search, Amazon TitanLead prompt engineering, prompt optimization, evaluation, benchmarking, and LLM fine‑tuningDesign secure, scalable, and compliant AI architectures aligned with enterprise IT and data platformsIntegrate LLMs and GenAI APIs into enterprise applications using microservices and APIsImplement GenAIOps / LLMOps / MLOps practices, including CI/CD, monitoring, guardrails, and continuous improvementCollaborate with data scientists, ML engineers, architects, product managers, and business stakeholdersRequired Skills & Experience – GenAI, LLM, Agentic AIGenerative AI & LLM ExpertiseStrong hands‑on experience with Generative AI and Large Language Models (LLMs)Experience working with OpenAI GPT‑4o, Claude, Llama, and open‑source LLMsDeep understanding of RAG architecture, LLM‑based summarization, search, and content generationExpertise in prompt engineering, prompt tuning, and LLM optimizationAgentic AI & OrchestrationHands‑on experience building agentic AI systemsExperience creating tool‑calling agents, autonomous agents, and multi‑agent workflowsStrong experience with LangChain, LangGraph, or similar AI orchestration frameworksVector Databases & Retrieval SystemsExperience with vector databases and semantic search platforms, including:PineconePGVectorAzure AI SearchAmazon TitanStrong knowledge of embedding models, chunking strategies, indexing, and retrieval optimizationCloud & Enterprise AI ArchitectureExperience deploying GenAI solutions on cloud platforms:AWS (SageMaker, Bedrock)Azure (Azure ML, Azure OpenAI)Google Cloud (Vertex AI)Strong understanding of enterprise AI architecture, security, governance, and responsible AIExperience integrating AI solutions into large‑scale enterprise systemsMLOps / GenAIOpsExperience with LLMOps / GenAIOps pipelinesKnowledge of CI/CD for LLM workflows, evaluation frameworks, monitoring, and AI safety layersCollaboration & LeadershipAbility to collaborate across AI research, ML engineering, data, product, and business teamsStrong communication skills to explain GenAI architecture and LLM design decisionsExperience influencing AI strategy and architecture in enterprise environments

Apply Now