AI Scientist - Sr. Staff /Principal
- Location
- IN, BANGALORE
- Work mode
- Hybrid
- Employment type
- Full-time
About the job
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/
Job Description:
Job Description 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.
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From SGP KCI Medical Asia Pte. Ltd.'s careers page (Workday), checked 31 Oct 2026.
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Posted 13 Oct 2026 · checked 31 Oct 2026 · Report this job