Note: The job is a remote job and is open to candidates in USA. Solventum is a new healthcare company focused on improving lives through innovative solutions. As a Senior AI Engineer, you will drive the architecture and deployment of AI platforms, creating scalable systems that integrate into healthcare operations and collaborating with stakeholders to develop autonomous AI solutions.

Responsibilities

• Build, test, and deploy autonomous, multi-agent systems using frameworks such as AutoGen and LangGraph. Implement the core logic for agent orchestration, tool utilization, and state management
• Engineer robust data ingestion pipelines capable of processing complex, multi-modal healthcare data. Implement advanced retrieval techniques, including Graph RAG, and develop solutions for high-accuracy document intelligence (e.g., page-by-page parsing of complex PDFs)
• Design and execute prompt engineering strategies. Establish and monitor rigorous evaluation of metrics for LLM performance to ensure clinical safety, minimize hallucinations, and optimize inference latency in production environments
• Partner with data scientists, product managers, and cloud engineers to transition AI models into high-concurrency production environments. Establish code quality standards, write comprehensive technical documentation, and mentor junior developers
• Build and maintain MLOps pipelines, ensuring secure containerization, CI/CD integration, and comprehensive system telemetry in adherence to healthcare privacy regulations (HIPAA, HITRUST)

Skills

• 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)
• Hands-on experience implementing Graph RAG and complex document parsing workflows
• Experience with healthcare data standards (e.g., FHIR) and secure data handling practices
• Strong background in system design patterns, microservices, and infrastructure as code
• Demonstrated ability to lead development pods and translate complex business requirements into technical deliverables

Benefits

• Medical, Dental & Vision
• Health Savings Accounts
• Health Care & Dependent Care Flexible Spending Accounts
• Disability Benefits
• Life Insurance
• Voluntary Benefits
• Paid Absences
• Retirement Benefits
• Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy.

Company Overview