AI Scientist – Modern AI Applications

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description:

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

• Serve as the primary technical authority on Agentic and Generative AI within project teams.
• Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.
• Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.

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

• Master’s in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.

Or

• PhD in Computer Science, AI, Machine Learning, or related field AND 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.
• 5+ years of experience managing direct reports (hiring, performance reviews, etc.)

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.

For current employees, internal transfer restrictions may not apply. For more details, contact your local recruiter/HR team.

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