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Principal AI Scientist

Solventum

Bengaluru, INonsitePosted Jun 5, 2026

Skills

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About the role

Job Description:

Key Responsibilities

1. 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.

2. 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.

3. 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.

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.

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