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Senior AI Engineer – Enterprise Agentic Solutions
SolventumSenior AI Engineer developing autonomous AI solutions leveraging Generative AI and multi-agent frameworks. Partnering with healthcare stakeholders to translate complex challenges into technical solutions.
Posted 6/17/2026full-timeRemote • Minnesota • 🇺🇸 United StatesSenior💰 $142,800 - $196,350 per yearWebsite
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Medical, Dental & Vision
- Health Savings Accounts
- Health Care & Dependent Care Flexible Spending Accounts
- Disability Benefits
- Life Insurance
- Voluntary Benefits
- Paid Absences
- Retirement Benefits
ATS Keywords
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Hard Skills & Tools
PythonMLOpsprompt engineeringdata ingestion pipelinesbackend systemsAPIsGenerative AIAgentic workflowsorchestration frameworksLLM evaluation metrics