Large Language Model Architect

Large Language Model Architect

Project Role : Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: We are seeking a highly skilled and visionary AI Architect to design and lead the architecture of cutting-edge AI systems involving agent orchestration, LLM integration, and enterprise-scale deployment. You will play a pivotal role in selecting the right models, frameworks, and strategies to enable intelligent multi-agent ecosystems, integrating them seamlessly into existing enterprise environments. Roles & Responsibilities: - • Design the overall AI system architecture, focusing on agent orchestration, system integration, and end-to-end scalability. • Evaluate and select appropriate LLMs, orchestration frameworks, tools, and APIs aligned with use case complexity and enterprise constraints. • Architect knowledge management systems using RAG (Retrieval-Augmented Generation) and hybrid search patterns. • Enable plan-and-execute strategies and multi-agent coordination for complex task automation. • Ensure secure, cost-optimized design through API gateway integration, token & context-window budgeting, and resource utilization planning. • Drive Gen AI threat modeling, safety tier design, and defenses against adversarial prompts. • Collaborate with cross-functional teams to ensure seamless A2A (agent-to-agent) and tool-based orchestration. • Lead proof-of-concepts, technical assessments, and production readiness for agent-based applications. Professional & Technical Skills: - • Strong understanding of architecture patterns including knowledge management (RAG, hybrid search), agent design, and enterprise AI. • Hands-on expertise with LLM orchestration frameworks such as LangGraph, CrewAI, AutoGen, Vertex AI, AI Refinery. • Proficiency in tools-as-agents, function calling, API integration, model context protocols (e.g., MCP), and A2A communication. • Experience with Gen AI safety design, including threat modeling and prompt protection strategies. • Knowledge of API gateway design, performance optimization, cost-aware system architecture, and context budgeting. • Experience in working across cloud-native and hybrid environments with secure enterprise integration patterns. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Indore office. - A 15 years full time education is required.