Gen AI Technical Lead/ Architect || Agentic AI || Immediate Joiners Only from Delhi NCR

Job Title: Gen AI Technical Lead/ Architect || Agentic AI || Immediate Joiners Only from Delhi NCR Experience: 8–14 Years Location: Noida/ Faridabad Work Mode: Full-time, Hybrid About the Role We are seeking an exceptional AI Architect with deep expertise in Agentic AI and Generative AI to lead the design, development, and deployment of next-generation autonomous AI systems. This role is pivotal in building LLM-powered agents , integrating memory, tool use, planning, and reasoning capabilities to create intelligent, goal-driven systems. As a technical leader, you will drive end-to-end AI initiatives—from cutting-edge research and architecture design to scalable deployment in cloud environments. Key Responsibilities Agentic AI Design & Implementation Architect and build LLM-based agents capable of autonomous task execution, memory management, tool usage, and multi-step reasoning. Develop modular, goal-oriented agentic systems using tools like LangChain , Auto-GPT , CrewAI , SuperAGI , and OpenAI Function Calling . Design multi-agent ecosystems with collaboration, negotiation, and task delegation capabilities. Integrate long-term and short-term memory (e.g., vector databases, episodic memory) into agents. Generative AI & Model Optimization Develop, fine-tune, and optimize foundation models (LLMs, diffusion models) using TensorFlow , PyTorch , or JAX . Apply model compression, quantization, pruning, and distillation techniques for deployment efficiency. Leverage cloud AI services such as AWS SageMaker , Azure ML , Google Vertex AI for scalable model training and serving. AI Research & Innovation Lead research in Agentic AI, LLM orchestration, and advanced planning strategies (e.g., ReAct, Tree of Thought, Reflexion, Autoformalism). Stay current with SOTA research; contribute to whitepapers, blogs, or top-tier conferences (e.g., NeurIPS, ICML, ICLR). Evaluate new architectures like BDI models , cognitive architectures (e.g., ACT-R, Soar), or neuro-symbolic approaches. Programming & Systems Engineering Strong coding proficiency in Python , CUDA , and TensorRT for model acceleration. Experience with distributed computing frameworks (e.g., Ray , Dask , Apache Spark ) for training large-scale models. Design and implement robust MLOps pipelines with Docker , Kubernetes , MLflow , and CI/CD systems. Required Skills & Qualifications 8–14 years of experience in AI/ML, with at least 2 years hands-on with Agentic AI systems. Proven experience building, scaling, and deploying agent-based architectures. Strong theoretical foundation in machine learning, deep learning, NLP, and reinforcement learning. Familiarity with cognitive architectures, decision-making, and planning systems. Hands-on with LLM integration and fine-tuning (e.g., OpenAI GPT-4, Claude, LLaMA, Mistral, Gemini). Deep understanding of prompt engineering , function/tool calling , retrieval-augmented generation (RAG) , and memory management in agentic systems. Preferred (Nice to Have) Publications or open-source contributions in Agentic AI or Generative AI. Experience with simulation environments for training/test agents (e.g., OpenAI Gym, Unity ML-Agents). Knowledge of safety, ethics, and alignment in autonomous AI systems.

Location: noida, IN

Posted Date: 6/17/2025