Principal AI Scientist

Solventum; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Solventum seeks a Principal AI Scientist to lead agentic AI, generative AI, and NLU initiatives for modern healthcare applications. You will drive hands-on research, design novel AI architectures, and influence product integration in mission-critical healthcare systems.

You will guide a multidisciplinary team, advance reasoning, and ensure models are robust, explainable, and compliant with healthcare privacy requirements while delivering impact across clinical and administrative workflows.

Qualifications

• PhD or Master's in Computer Science, AI, ML, or related field.
• 5+ years of experience in AI/ML with deployed models.
• Proficiency in Python and R with modern ML libraries.
• Experience with GenAI, LLMs, and transformer architectures.
• Hands-on with autonomous AI agents and reasoning systems.
• Familiarity with AWS and MLOps practices.

Responsibilities

• Design, prototype, and evaluate novel AI models for healthcare workflows.
• Advance state-of-the-art NLU for clinical and operational text.
• Lead architecture and ensure explainability and regulatory compliance.
• Adapt and fine-tune LLMs for healthcare language and data.
• Oversee end-to-end deployment of AI applications in production.

Skills

Python

R

AI/ML expertise

Autonomous AI agents

Healthcare AI experience

Cloud platforms

MLOps

Education

PhD in Computer Science or related

Master's in AI/ML or related field

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

RAG systems

Job description

Job Summary

Principal AI Scientist - Modern AI Applications

As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands‑on research and development leader — driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission‑critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations.

The Impact You ll Make in this Role

Key Responsibilities

Research Innovation

• 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.

Healthcare-Focused AI Development

• Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.
• Create AI pipelines that can 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.

Technical Leadership Strategy

• Technical Authority: Serve as the lead architect for AI/ML strategy, ensuring all models are explainable, robust, and compliant with healthcare regulations (HIPAA/HITRUST).
• Research to Reality: Bridge the gap between theoretical research and practical engineering, ensuring prototypes are built with deployment and maintenance in mind.
• Mentorship: Elevate the engineering team through rigorous code reviews, architectural design docs, and best practices in data science.

Data Operational Excellence

• Data Integrity: Oversee the processing of structured and unstructured healthcare data (FHIR, HL7, clinical notes) ensuring high data quality and security.
• Validation: Implement rigorous model evaluation frameworks to detect bias and ensure clinical accuracy.

End-to-End System Architecture

• Design Deploy: Lead the full lifecycle of AI applications, from initial data exploration and model training to deploying secure, scalable services in a production environment.
• Hybrid Modeling: Intelligently combine Classical ML (Random Forests, XGBoost, etc.) with Deep Learning and Generative AI to solve complex healthcare problems efficiently.
• Agentic Frameworks: Architect agent‑based reasoning systems to automate clinical workflows while maintaining strict "human-in-the-loop" safety standards.

Operational Compliance Excellence

• Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.
• Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).
• Partner with engineering to move research prototypes into production environments.

Required Qualifications

• 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.

Preferred Skills

• 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.

Work Location

Work location: Bangalore Hybrid