Application Architect Agentic AI

Job Description

Job Title: Web Application Architect Agentic AI Location: Bangalore, Hyderabad, Pune Job Type: Full-time Experience: 10+ Years About the Role: We are looking for a highly skilled Web Application Architect with strong experience in Python backend development and hands-on exposure to Agentic AI frameworks to join our growing Data&AI practice. This is a client-facing, solution-oriented role where you will lead the architecture and implementation of intelligent full-stack solutions for enterprise customers across industries. Responsibilities: Design and architect end-to-end AI-powered full stack solutions for enterprise clients, focusing on Agentic AI systems and intelligent automation. Lead the development of scalable backend services using Python (FastAPI/Django/Flask) and integration with LLMs and autonomous agents. Collaborate with client stakeholders to understand business needs and translate them into technical architectures and delivery roadmaps. Integrate with Agentic AI frameworks (e.g., LangChain, CrewAI, AutoGen) to deliver autonomous workflows, assistants, and process agents. Lead technical discussions, POCs, and solution presentations for clients. Oversee frontend architecture using modern JS frameworks (React, Angular, or Vue) and ensure seamless UX/UI. Define best practices in software engineering, DevOps, and AI solution delivery across projects. Guide development teams during implementation, ensuring alignment with architectural principles and client goals. Required Skills: 10+ years of experience in backend development and architecture roles in IT services or consulting. Strong hands-on expertise in Python backend frameworks: FastAPI, Flask, or Django. Knowledge of frontend technologies (React/Angular/Vue) with good knowledge of UX patterns. Experience with Agentic AI tools and workflows, including LangChain, AutoGen, or CrewAI. Solid understanding of LLM APIs (e.g., OpenAI, Claude, Mistral) and prompt engineering. Experience with vector databases (Pinecone, Weaviate, FAISS) and embeddings. Strong understanding of RESTful services, GraphQL, microservices, and API gateways. Familiarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and CI/CD pipelines. Excellent communication and client engagement skills. Experience working in an agile delivery model and leading distributed teams. Preferred Skills: Prior experience delivering AI/ML or intelligent automation solutions for enterprise clients. Exposure to RAG (Retrieval-Augmented Generation) , chatbot design, or AI copilots. Certification in cloud or architecture frameworks (AWS/Azure Architect, TOGAF, etc.). Open-source contributions or AI/LLM-focused GitHub projects.