Senior System Architect

Company Overview

Verathon is a global medical device company focused on supporting customers by being their trusted partner, delivering high-quality products that endure over time and ensure clinical and economic utility. Two areas where Verathon has significantly impacted patient care, and become the market leader in each, are bladder volume measurement and airway management. The company’s Bladder Scan portable ultrasound and Glide Scope video laryngoscopy & bronchoscopy systems effectively address unmet needs for healthcare providers and meaningfully raise the standard of care for patients.

Verathon, a subsidiary of Roper Technologies, is headquartered in Bothell, Washington, USA and has international subsidiaries in Canada, Europe and Asia Pacific. For more information, please visit

Verathon® is seeking a Senior System Architect to join the Information Technology organization. This plays a key role as the company’s hands‑on technical owner for Artificial Intelligence (AI) and Machine Learning (ML) initiatives.

The Senior System Architect is responsible for designing, building, deploying, and supporting AI‑driven solutions end‑to‑end, leveraging Verathon’s unified data platform. This role intentionally combines Data Scientist, ML Engineer, and AI Solutions Architect responsibilities into a single senior position focused on delivering production‑ready AI capabilities that directly support business outcomes.

This position partners closely with business stakeholders and the Data Engineering team to translate AI initiatives into scalable, secure, and usable systems that enable analytics, automation, prediction, and decision support across the organization.

• Serve as a key technical owner for AI and Machine Learning initiatives across Verathon.
• Perform the full AI/ML lifecycle hands‑on, including:
• Use‑case evaluation and problem definition
• Feature engineering and data preparation
• Model selection, experimentation, training, and tuning
• Model validation and performance evaluation
• Deployment, monitoring, and ongoing optimization
• Design and implement production‑grade AI and ML systems, supporting both batch and real‑time inference patterns.
• Build and maintain AI‑powered applications, dashboards, and decision‑support tools that enable business users to leverage advanced analytics and automation.
• Lead enterprise AI enablement initiatives, including:
• Generative AI and large language model (LLM) use cases (e.g., research, analytics, summarization, and knowledge discovery)
• Predictive and prescriptive analytics
• Intelligent automation of business processes
• Evaluate, prototype, and recommend AI platforms and tools (e.g., ChatGPT, Claude, Glean, Azure AI services, and other third‑party solutions) based on security, scalability, compliance, and business value.
• Architect AI solutions leveraging Verathon’s unified data platform, defining:
• Data and feature requirements
• Modeling and semantic layers
• Model‑serving and system integration patterns
• Translate AI initiatives into clear technical and data requirements for the Data Engineering team, ensuring data pipelines support AI and advanced analytics use cases.
• Establish and follow best practices for AI development, including model lifecycle management, monitoring, responsible AI, and governance.
• Partner with business stakeholders to identify, prioritize, and deliver high‑impact AI use cases that improve efficiency, insight, and decision‑making.
• Stay current with emerging AI and ML technologies and proactively identify opportunities to apply them at Verathon.
• Ensure all AI systems comply with Verathon’s System Development Life Cycle (SDLC), Computer Systems Validation, security, and data governance policies.
• Develop and maintain technical documentation, solution designs, and training materials for AI‑enabled systems.

• Bachelor’s degree with 6+ years of experience, or Master’s degree with 4+ years of experience, in AI/ML, data engineering, analytics, computer science, or related fields.
• Proven hands‑on experience delivering end‑to‑end AI/ML solutions in production environments.
• Demonstrated ability to perform both Data Scientist and ML Engineer…