Principal AI Scientist
At a glance
Senior AI Research role at Healthcare. IN, BANGALORE · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and test agent-based AI models for healthcare workflows, including systems that reason, decide and handle multiple data types
- Adapt large language models to healthcare terminology, regulatory needs and ethical considerations
- Create AI pipelines for healthcare records and claims, then develop models supporting clinical decisions, revenue cycle work and patient engagement
- Lead AI architecture from data exploration through production deployment, combining classical machine learning with deep learning and generative AI
- Set model evaluation practices for accuracy, fairness and clinical reliability, and guide engineers through reviews and design documentation
What you bring
- A PhD or master’s degree in computer science, AI, machine learning or a related discipline
- At least five years in AI or machine learning, with deployed models in your portfolio
- Practical expertise with generative AI, language models, transformer architectures and autonomous agents
- Python, R and modern machine-learning libraries, plus hands-on use of tools such as PyTorch, TensorFlow or another listed framework
- A record of applying AI in healthcare or life sciences
Who this fits
This senior, hands-on technical leadership role suits someone who can take AI research into deployed healthcare applications and mentor engineering teams. It is based in Bangalore with a hybrid work arrangement.
From the employer
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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