Principal AI Scientist

Overview

Lead hands-on research and development in agentic AI, generative AI and natural language understanding for healthcare (HIS) applications, acting as technical authority for AI/ML strategy.

What you'll do

• Design, prototype and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.
• Advance state-of-the-art NLU for clinical, operational and administrative healthcare text.
• Explore and implement new capabilities in reasoning, decision-making and multi-modal understanding.
• Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements and ethical considerations.
• Create AI pipelines that process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).
• Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management and patient engagement.
• Serve as lead architect for AI/ML strategy, ensuring models are explainable, robust and compliant with healthcare regulations (HIPAA/HITRUST).
• Bridge theoretical research and practical engineering so prototypes are built with deployment and maintenance in mind.
• Elevate the engineering team through rigorous code reviews, architectural design docs and data science best practices.
• Oversee processing of structured and unstructured healthcare data (FHIR, HL7, clinical notes), ensuring high data quality and security.
• Implement rigorous model evaluation frameworks to detect bias and ensure clinical accuracy.
• Lead the full lifecycle of AI applications, from data exploration and model training to deploying secure, scalable production services.
• Intelligently combine Classical ML (Random Forests, XGBoost, etc.) with Deep Learning and Generative AI to solve complex healthcare problems.
• Architect agent-based reasoning systems to automate clinical workflows while maintaining strict human-in-the-loop safety standards.
• Partner with engineering to move research prototypes into production environments.

What you'll need

• PhD or Master's in Computer Science, AI, Machine Learning or related field.
• 5+ years of experience in AI/ML, with a strong portfolio of deployed models.
• Proficiency in Python, R and modern ML libraries.
• Experience with GenAI, LLMs and transformer architectures.
• Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).
• Hands-on experience with autonomous AI agents and reasoning systems.
• Strong track record applying AI to healthcare or life sciences use cases.
• Familiarity with cloud platforms (AWS) and MLOps practices.

Nice to have

• Multi-modal AI research experience (text, image, structured data).
• Knowledge graph integration and symbolic reasoning expertise.
• Proven ability to take AI research from concept to production.

Details

• Work location: Bangalore, hybrid.