Ai Solution Architect | 15+ Years Exp | Gurgaon (Haryana)

We are seeking a Director level executive for Lead AI Architect with proven expertise in Large Language Models LLMs Agentic AI Lang

Chain Lang

Graph embeddings vector databases and semantic search The role demands cloud expertise Azure or GCP application architecture knowledge and experience in designing and delivering enterprise-grade AI applications using LLMs and agentic workflows The ideal candidate blends technical excellence with a product mindset capable of applying design patterns in Lang

Chain and Lang

Graph as well as integration architecture patterns to deliver scalable reusable and business-aligned AI solutions Key Responsibilities Overall experience 15 years of IT experience and strong experience with Data architectures AI Product Strategy Delivery Enterprise AI Application Architecture LLM Agentic AI Development Embeddings Vector Databases RAG Cloud MLOps Leadership Hands-On Execution Lead the end-to-end AI product lifecycle ideation prototyping MVP and enterprise-grade rollout Ensure all AI solutions are aligned with business KPIs adoption metrics and ROI goals Collaborate with product business and architecture teams to shape AI-enabled solutions Architect scalable enterprise AI applications using LLMs embeddings and agentic workflows Apply integration design patterns e g API Gateway event-driven CQRS pub-sub orchestration vs choreography for seamless enterprise system integration Ensure security compliance and resilience in all deployed solutions Design and implement LLM-powered applications OpenAI Gemini Claude LLaMA Use Lang

Chain design patterns e g Retrieval Chain Conversational Chain Sequential Chains Tool-Using Agents to create modular and reusable workflows Apply Lang

Graph design patterns for multi-agent orchestration tool invocation and branching logic in complex workflows Implement agentic AI architectures with Model Context Protocol MCP for adaptive and autonomous decision-making Build and optimize embedding pipelines OpenAI Embeddings Sentence

Transformers custom models Architect semantic search and RAG pipelines with vector databases FAISS Weaviate Pinecone Milvus Ensure low-latency scalable retrieval for enterprise knowledge applications Deploy AI workloads on Azure AI Azure OpenAI Azure Cognitive Search Azure ML Foundry or Google Cloud AI Vertex AI Gemini PaLM Lead MLOps practices for automated training CI CD monitoring and retraining Apply cloud-native design patterns e g sidecar adapter strangler fig service mesh for AI deployment Be a hands-on leader actively coding prototypes and leading architecture reviews Mentor teams in Lang

Chain Lang

Graph design patterns embeddings RAG and AI solution design Drive best practices in AI development integration design and scalable deployment Primary skills8 years in AI ML development with 3 years in enterprise LLM agentic AI solutions Hands-on expertise with Lang

Chain Lang

Graph and design patterns for workflow orchestration Deep understanding of agentic AI architectures embeddings RAG pipelines and semantic search Strong Python development skills and experience integrating AI models with enterprise APIs and microservices Experience with Azure AI or GCP AI services for enterprise-scale deployments Knowledge of application and integration design patterns for cloud-native architectures Proficiency with vector databases FAISS Pinecone Weaviate Milvus Experience with MLOps pipelines CI CD and Kubernetes Strong stakeholder management communication and leadership skills Ref code 330995-en GB Posted on 26 Nov 2025 Experience level Executives Contract type Permanent Location Gurgaon Business unit I and D Global Business Line Brand Capgemini Qualified communities Architecture