Generative AI Architect

As a Technical Lead / Architect specializing in Generative AI, your role will involve architecting and leading the development of production-grade Generative AI & Agentic AI platforms. You will be responsible for building scalable LLM applications, RAG pipelines, multi-agent systems, and autonomous workflows while providing strong engineering leadership. Key Responsibilities: - Design enterprise-grade GenAI/Agentic AI systems & LLM-powered applications - Build RAG pipelines, multi-agent collaboration systems, and autonomous workflows - Implement prompt engineering, memory management, reasoning chains, and evaluation frameworks - Lead end-to-end AI development from concept to production, while mentoring engineers - Build CI/CD for AI, optimize inference performance, and ensure monitoring & governance - Translate business problems into AI solutions and collaborate with product/engineering teams Qualifications Required: - Proficiency in Core AI & GenAI technologies including LLMs (OpenAI, Anthropic, LLaMA, Mistral), RAG, and LangChain/LlamaIndex - Experience with Vector DBs such as Pinecone, Weaviate, FAISS, and Milvus, along with production AI agents - Strong skills in prompt engineering, fine-tuning, embeddings, and guardrails - Solid engineering background in Python, PyTorch/TensorFlow, and Hugging Face - Experience with distributed microservices, API design, backend systems, and data pipelines - Knowledge of Cloud & Infrastructure technologies like Azure/AWS/GCP, Docker, Kubernetes, and GPU infrastructure - Familiarity with MLOps practices including CI/CD for AI, model monitoring, drift detection, and observability - Leadership abilities in leading AI teams, system design, problem-solving, and stakeholder management This job opportunity provides you with the chance to work on cutting-edge AI technologies, lead impactful projects, and collaborate with talented engineers to drive innovation in the field of Generative AI. As a Technical Lead / Architect specializing in Generative AI, your role will involve architecting and leading the development of production-grade Generative AI & Agentic AI platforms. You will be responsible for building scalable LLM applications, RAG pipelines, multi-agent systems, and autonomous workflows while providing strong engineering leadership. Key Responsibilities: - Design enterprise-grade GenAI/Agentic AI systems & LLM-powered applications - Build RAG pipelines, multi-agent collaboration systems, and autonomous workflows - Implement prompt engineering, memory management, reasoning chains, and evaluation frameworks - Lead end-to-end AI development from concept to production, while mentoring engineers - Build CI/CD for AI, optimize inference performance, and ensure monitoring & governance - Translate business problems into AI solutions and collaborate with product/engineering teams Qualifications Required: - Proficiency in Core AI & GenAI technologies including LLMs (OpenAI, Anthropic, LLaMA, Mistral), RAG, and LangChain/LlamaIndex - Experience with Vector DBs such as Pinecone, Weaviate, FAISS, and Milvus, along with production AI agents - Strong skills in prompt engineering, fine-tuning, embeddings, and guardrails - Solid engineering background in Python, PyTorch/TensorFlow, and Hugging Face - Experience with distributed microservices, API design, backend systems, and data pipelines - Knowledge of Cloud & Infrastructure technologies like Azure/AWS/GCP, Docker, Kubernetes, and GPU infrastructure - Familiarity with MLOps practices including CI/CD for AI, model monitoring, drift detection, and observability - Leadership abilities in leading AI teams, system design, problem-solving, and stakeholder management This job opportunity provides you with the chance to work on cutting-edge AI technologies, lead impactful projects, and collaborate with talented engineers to drive innovation in the field of Generative AI.