Principal Scientist - Generative AI & NLP

About AI Technology Innovation Centre

We are establishing an advanced AI research hub known as the AI Technology Innovation Center (TIC) in Bengaluru. The centre focuses on pioneering AI technology research with elite AI talent and cutting-edge infrastructure. The breakthroughs achieved here will lead to the commercialization of state-of-the-art AI solutions. The TIC is designed to be a globally recognized leader in AI research and development, encouraging innovation and setting high industry standards.

Our goal is to attract and nurture top-tier AI professionals in India by creating a dynamic, inclusive environment that promotes continuous learning and innovative thinking. The TIC combines commercial agility with a scientific approach to deliver scalable AI solutions that address real-world challenges, maintaining its position as an AI excellence hub.

Role Overview

We seek a Principal Scientist specializing in Generative AI and Natural Language Processing (NLP). This role requires leadership in research and development of advanced AI technologies including Large Language Models (LLMs), multimodal AI, and agentic systems. The ideal candidate has a strong record of scientific publications, deep knowledge of algorithms, and extensive hands-on experience in constructing and refining large-scale AI systems under practical constraints.

Key research objectives include developing AI and agentic systems with emotional empathy, self-learning abilities, and multimodal memory, aimed at on-premise product deployment.

Why Join Us?

• Engage with pioneering research problems involving emotion, memory, learning, and action.
• Prioritize prolific scientific publishing and patent creation with access to relevant data and technical resources.
• Transform algorithms into global products and gain insights from their real-world use.
• Provide scientific leadership by mentoring peers, shaping methodologies, and setting research standards across the centre.

Major Responsibilities

• Set and execute the research roadmap focusing on LLMs, multimodal AI, and generative AI.
• Lead the production of high-impact research papers in leading conferences such as NeurIPS, ICML, ACL, and CVPR.
• Remain at the cutting edge of AI research and convert findings into scalable and applicable solutions.
• Invent and enhance algorithms for generative models, NLP, and agentic AI optimized for realistic system and computation limitations.
• Oversee the development of efficient training pipelines, including distributed training and optimized inference for large-scale models.
• Design and implement complete Generative AI systems featuring prompt orchestration, retrieval augmented generation, and agent-oriented workflows.
• Collaborate closely with engineering, product development, and data science teams to deploy AI innovations in production.
• Develop and sustain scalable backend microservices and real-time inference platforms on cloud services such as AWS, GCP, and Azure.
• Mentor junior scientists and engineers on generative AI practices and rigorous research methodologies.
• Coordinate cross-functional initiatives to ensure alignment of AI projects with organizational goals and customer demands.

Working Model

The TIC operates under a research-to-product framework where scientists and engineers work collaboratively across all facets from hypothesis generation to technology transfer. Roles merge technical depth with accountability, reproducibility, ethical AI practices, and effective communication of results.

Qualifications and Experience

• PhD or Master’s degree in Computer Science, Machine Learning, Mathematics, Computational Linguistics, or a related field.
• 10 to 15 years of combined industry and academic experience in AI and Machine Learning, including over 7 years focused on NLP and Generative AI.
• Proven leadership in publishing influential research in areas such as LLMs and multimodal models.
• Hands-on expertise in training, optimizing, and deploying large-scale AI models.
• Extensive programming experience in Python and familiarity with frameworks such as Hugging Face Transformers, TensorFlow, PyTorch, Keras, and JAX.
• In-depth knowledge of Large Language Models, multimodal AI, embedding mechanisms, vector databases, and agentic AI systems.
• Experience using MLOps/LLMOps platforms like MLflow, Weights & Biases, DVC, SageMaker, and Vertex AI.
• Strong skills in system design including distributed systems, data pipeline construction, and API development.

Expected Outcomes in 18-24 Months

• Establishment of a targeted research portfolio and strategy for on-premise Artificial General Intelligence (AGI) and agentic systems.
• Publication record in leading AI conferences and a portfolio of patents.
• Leadership of a robust research team dedicated to achieving on-premise AGI objectives.
• Development of novel algorithms and methodologies surpassing current benchmarks with reproducible results.
• Focus on research translation to commercial product applications.

Additional Information

This role is part of Wipro’s vision for digital transformation, encouraging continual reinvention of skills and career trajectories within a purpose-driven organization.