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.
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Skills Required
- Design and deploy end-to-end AI/ML systems into production
- Proven experience with Classical ML methods (Random Forests, XGBoost)
- Proven experience with Deep Learning and Generative AI
- Experience architecting agent-based or agentic reasoning systems with human-in-the-loop safety
- Experience working with healthcare data standards (FHIR, HL7) and clinical text
- Knowledge of healthcare compliance and data security standards (HIPAA, HITRUST)
- Implementing model evaluation, validation, and bias-detection frameworks
- Technical leadership, mentorship, code review, and architecture documentation experience
Solventum Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Solventum and has not been reviewed or approved by Solventum.
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Fair & Transparent Compensation — Salary ranges on many U.S. postings are explicitly stated, providing clear visibility into target pay bands. Pay is characterized as competitive for numerous technical, engineering, sales, and specialist roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage with day‑one eligibility is emphasized alongside resources such as EAP, coaching, and care referrals. Benefits breakdowns indicate strong sentiment toward core health coverage and related time‑off elements.
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Retirement Support — The U.S. 401(k) program pairs company matching with an additional automatic retirement contribution. Employee-facing benefit details highlight favorable impressions of the 401(k) plan.
Solventum Insights
What We Do
At Solventum, we enable better, smarter, safer healthcare to improve lives. We never stop solving for you







