Principal AI Scientist

Location: IN, BANGALORE

At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum, and we’re committed to protecting your personal information—learn more in our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/

Principal AI Scientist – Modern AI Applications

The Impact You’ll Make in this Role

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.

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: Bangalore Hybrid

Supporting Your Well-being

Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.

Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.

Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

Solventum Global Terms of Use and Privacy Statement

Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.

Please access the linked document by clicking here. Before submitting your application you will be asked to confirm your agreement with the

terms.