Must Have skills and Experience Min 8 years proven experience with AI ML LLMs Agentic workflows and enterprise integration tech stack with solution building Exposure of architecting complex AI or software systems at scale Deep understanding of LLMs multi-agent systems planning algorithms and memory architectures Proficiency in relevant languages and latest frameworks e g Python TensorFlow PyTorch LangChain AgentGPT or similar Strong systems thinking and ability to lead architectural decisions across full AI stack Robust understanding of API-first architecture integration patterns REST GraphQL gRPC event-driven streaming and enterprise middleware Hands-on experience with cloud-native platforms Azure AWS GCP microservices containers Docker Kubernetes and distributed systems Demonstrated ability to guide and mentor technical teams Key Skills and Responsibilities Tech Stack Leadership Define and evolve the technology stack for agent orchestration planning tool use and long-term memory systems Architect Agentic Systems Design modular scalable and robust AI architectures that support autonomy memory reasoning and multi-agent collaboration Define best practices for API gateways identity authentication rate limiting observability and monitoring Cross-functional Collaboration Partner with ML engineers product managers and domain experts to align architecture with business and user needs Innovation Research Stay abreast of the latest advances in agentic AI LLMs reinforcement learning neuro-symbolic methods and real-time systems

📌 Architect / Lead For Agentic Ai Solutions Practice (Chennai)
🏢 Spectral Consultants
📍 Chennai