Lead Principal Scientist (AI Research) (Bengaluru)

Lead Principal Scientist - AI Research We are seeking a Principal Scientist Generative AI & NLP to lead our research and development efforts in cutting-edge AI technologies, including Large Language Models (LLMs), multimodal AI, and agentic systems. This role is ideal for a seasoned AI researcher and technologist with a robust publication record, deep algorithmic expertise, and hands-on experience in building and optimizing large-scale AI systems under real-world constraints. You will play a pivotal role in setting the research direction, leading high-impact publications, and driving the development of scalable, production-ready AI solutions that power next-generation products. Key Responsibilities - Research Leadership - Define and drive the research roadmap in LLMs, multimodal AI, and Generative AI. - Lead the authoring and publication of top-tier research papers (e.g., NeurIPS, ICML, ACL, CVPR). - Stay at the forefront of AI advancements and translate research into practical, scalable solutions. - Algorithm & System Design - Design and optimize novel algorithms for generative modeling, NLP, and agentic AI under system and compute constraints. - Lead the development of high-performance training pipelines for large-scale models, including distributed training and inference optimization. - Product & Platform Development - Architect and implement end-to-end GenAI systems, including prompt orchestration, retrieval-augmented generation (RAG), and agentic workflows. - Collaborate with engineering, product, and data science teams to integrate AI solutions into production environments. - Build and maintain highly scalable backend microservices and real-time inference systems on cloud platforms (AWS, GCP, Azure). - Mentorship & Collaboration - Mentor junior scientists / engineers in GenAI best practices and research methodologies. - Work cross-functionally to align AI initiatives with business goals and customer needs. Required Qualifications - Ph.D. or Masters in Computer Science, Machine Learning, Mathematics, Computational Linguistics, or a related field. - 1015 years of industry and/or academic experience in AI/ML, with 7 years in NLP and Generative AI. - Demonstrated leadership in publishing top-tier research such as NeruralIPS, ICLR, ICML, AAAI, and CVPR in LLMs, multimodal models, or related areas. - Proven experience in large-scale model training, optimization, and deployment. - Expertise in Python, with proficiency in frameworks such as Hugging Face Transformers, TensorFlow, PyTorch, Keras, JAX. - Deep understanding of LLMs, multimodal AI, embedding models, vector databases, and agentic AI. - Experience with MLOps/LLMOps tools (e.g., MLflow, Weights & Biases, DVC, SageMaker, Vertex AI). - Strong system design skills, including distributed systems, data pipelines, and API development. .