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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Agentic Solution Architect - **Company:** Solventum Corporation - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $197,600.0 - $271,700.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Automated Storage and Retrieval Systems, Microsoft Azure, Software Quality, Continuous Delivery, Continuous Integration, Distributed Systems, Fault Tolerance, Python (Programming Language), Machine Learning, Software Engineering, Web Application Frameworks, Fast Healthcare Interoperability Resources, Large Language Models, Multi-Agent Systems, IT Architecture, Deep Learning, Model Validation, Generative AI, Backend, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents, Data Pipelines, Microservices - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a5bc5142f6afedb6 ## About the Role Do you have experience in Systems engineering?, Do you have a Master's degree?, * Master's degree in computer science, AI, Software Engineering, or related field AND 10+ years of professional experience in software engineering, ML/AI architecture, and distributed systems, * PhD in Computer Science, AI, or related field AND 8 years of experience. * 3 years of hands-on expertise in building and deploying Agentic workflows and orchestration frameworks (e.g., AutoGen, LangChain) in production environments. * 5 years of experience in both classical Machine Learning/Deep Learning and modern Generative AI paradigms. * 5 years of experience architecting scalable backend systems, APIs, and ML infrastructure using Python and cloud-native technologies (AWS/Azure/GCP). * Demonstrated track record of successful client-facing or executive stakeholder management, with the ability to explain complex architectural concepts to non-technical audiences. AND In addition to the above requirements, the following is also required: Expertise in advanced retrieval systems, including Graph RAG and complex document intelligence. * Extensive experience in system design patterns, microservices architecture, and infrastructure as code. * Prior experience acting as a Chief Architect or equivalent senior technical leadership role within the healthcare or life sciences sector. * Deep understanding of MLOps practices, model evaluation, telemetry, and continuous deployment of autonomous systems., Must be legally authorized to work in a country of employment without sponsorship for employment visa status (e.g., H1B status). ## Description As an Enterprise Agentic Solution Architect, you will serve as the premier technical authority driving the enterprise-wide architecture, engineering, and deployment of Agentic AI and Generative AI platforms. Operating at a highly senior level, your focus extends beyond data science and model training into the rigorous engineering of scalable, high-performance AI systems. You will architect robust, multi-agent frameworks that integrate seamlessly into mission-critical healthcare operations. Furthermore, you will act as a primary technical liaison, partnering directly with executive stakeholders and healthcare customers to translate complex business challenges into highly reliable, autonomous AI solutions., Agentic Architecture & Platform Engineering Architect scalable, fault-tolerant enterprise platforms for autonomous, multi-agent systems, moving beyond isolated models to comprehensive reasoning engines. * Design the underlying infrastructure for agent state management, memory, orchestration, and tool utilization using modern frameworks (e.g., AutoGen, LangGraph). * Bridge the gap between AI science and software engineering, establishing the technical blueprints for integrating advanced RAG, Graph RAG, and LLMs into high-concurrency production environments. Executive Leadership & Customer Engagement Serve as the primary technical advisor to C-suite stakeholders, product leadership, and external healthcare clients, translating business requirements into actionable AI roadmaps. * Lead technical discussions with customers to build trust in our AI architecture, addressing concerns related to explainability, system latency, and clinical safety. * Drive cross-functional alignment, ensuring product, engineering, and data science teams are executing against a unified architectural vision. Advanced AI Strategy & Deep ML Integration Maintain deep technical oversight over traditional ML, Deep Learning, and Generative AI pipelines to ensure the right tool is utilized for the right problem. * Oversee the design of robust data ingestion pipelines capable of handling highly complex, multi-modal healthcare data (FHIR, structured records, complex PDFs) for agentic processing. * Lead initiatives to optimize model serving, inference latency, and computational cost across distributed cloud architectures. Operational Rigor & Governance Establish enterprise-wide engineering standards for AI development, including code quality, containerization, CI/CD for ML, and comprehensive system telemetry. * Architect "security-by-design" AI systems, ensuring strict adherence to healthcare privacy regulations (HIPAA, HITRUST) and implementing guardrails against model drift and hallucinations., Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. 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