Senior AI Engineer – Enterprise Agentic Solutions

🔥 12 minutes ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $142.8k - $196.3k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Solventum

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

📚 Education

🧘 Wellness

Healthcare Insurance • Education • Wellness

Solventum is a healthcare-focused company renowned for its innovative solutions aimed at improving medical and oral care outcomes. The company offers a variety of medical technologies, including advanced wound care, surgical solutions, and sterilization products. Solventum also provides advanced oral care solutions, health information and technology services, and purification and filtration products for biopharmaceutical applications. Furthermore, Solventum places a strong emphasis on sustainability and education, providing resources and training for healthcare professionals globally. Their commitment to innovation and better healthcare has made them a leader in the healthcare industry, dedicated to enhancing patient safety and healthcare efficiencies.

📋 Description

• Build, test, and deploy autonomous, multi-agent systems using frameworks such as AutoGen and LangGraph. • Engineer robust data ingestion pipelines capable of processing complex, multi-modal healthcare data. • Design and execute prompt engineering strategies. • Partner with data scientists, product managers, and cloud engineers to transition AI models into high-concurrency production environments. • Build and maintain MLOps pipelines, ensuring secure containerization, CI/CD integration, and comprehensive system telemetry in adherence to healthcare privacy regulations (HIPAA, HITRUST).

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, AI, or related field AND 8+ years of professional experience in software engineering and ML/AI development OR a Master's degree AND 6+ years of experience. • Deep, hands-on programming expertise in Python and extensive experience building backend systems and APIs. • Direct experience developing and deploying Agentic workflows and orchestration frameworks (e.g., AutoGen, LangChain) in production. • Strong practical understanding of Generative AI paradigms, prompt engineering, and LLM evaluation metrics. • Experience building ML infrastructure and deploying applications using cloud-native technologies (AWS, Azure, or GCP).

🏖️ Benefits

• Medical, Dental & Vision • Health Savings Accounts • Health Care & Dependent Care Flexible Spending Accounts • Disability Benefits • Life Insurance • Voluntary Benefits • Paid Absences • Retirement Benefits