About the Role We are seeking a highly skilled and forward-thinking Generative AI Architect Data Scientist to lead the design and implementation of cutting-edge AI systems You will be responsible for building intelligent agentic AI applications using large language models LLMs LangChain and other advanced generative AI technologies This role blends deep technical expertise in AI ML with hands-on architecture and data science responsibilities You ll work across teams to develop AI agents pipelines and services that leverage the latest in generative AI including LLM orchestration tool use and autonomous workflows Key Responsibilities Architect and implement generative AI applications using LLMs and frameworks like LangChain LlamaIndex and vector databases e g Pinecone Weaviate FAISS Build and deploy agentic AI systems that use tools memory and multi-step reasoning to solve real-world problems Work closely with stakeholders to identify use cases and translate them into AI-powered solutions using Python and modern AI ML frameworks Develop fine-tune and evaluate foundation models e g GPT Claude Mistral LLaMA for domain-specific applications Create and maintain scalable production-grade ML pipelines from data preprocessing to inference and monitoring Leverage LangChain to orchestrate LLMs tools APIs and knowledge sources in agent-based workflows Apply prompt engineering retrieval-augmented generation RAG and fine-tuning techniques for performance improvement Collaborate with data engineers product managers and ML engineers to ensure AI systems are robust ethical and scalable Stay updated with the latest research and trends in generative AI LLMs and agentic architectures Required Qualifications Bachelor s or Master s degree in Computer Science Data Science Machine Learning or a related field 5 years of experience in AI ML with 1 2 years focused on generative AI or LLM-based systems Robust programming skills in Python and hands-on experience with AI ML libraries like PyTorch Transformers Hugging Face and LangChain Deep understanding of agentic AI concepts including planning tool use memory management and autonomous agents Experience with vector databases embedding models and RAG pipelines Ability to build fine-tune or integrate with foundation models e g OpenAI Anthropic Cohere Mistral Meta Knowledge of cloud platforms AWS GCP or Azure and deploying AI solutions in production environments

📌 Gen Ai Architect - Bsl - Brajesh (Bengaluru)
🏢 TalentOla
📍 Bengaluru