Enterprise Agentic Solution Architect

SOLVENTUM • Remote - Texas, TX

3d • $197,600 - $271,700 • Remote

About The Position

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. 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.

Requirements

• 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 OR 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.
• Expertise in advanced retrieval systems, including Graph RAG and complex document intelligence.
• Extensive experience in system design patterns, microservices architecture, and infrastructure as code.
• 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).

Nice To Haves

• Prior experience acting as a Chief Architect or equivalent senior technical leadership role within the healthcare or life sciences sector.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior