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 BladderScan portable ultrasound and GlideScope 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 www.verathon.com .
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.
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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 responsibilities within a single role.
Strong understanding of data architecture concepts, including data lakes, lakehouse patterns, and layered data modeling.
Experience working with cloud-based data and AI platforms, preferably Microsoft Azure.
Hands-on familiarity with Generative AI and LLM-based solutions, including evaluation and implementation of enterprise AI tools.
Strong software engineering mindset applied to ML systems, including testing, monitoring, scalability, and maintainability.
Working knowledge of SQL and data analytics concepts.
Experience building AI-enabled applications, dashboards, or analytical tools consumed by business users.
Ability to independently design and deliver solutions while collaborating effectively across teams.
Strong analytical, problem-solving, and research skills.
Experience with Agile and/or Waterfall methodologies and SDLC best practices.
Excellent written and verbal communication skills, with the ability to explain complex AI concepts to non-technical audiences.
High integrity, strong attention to detail, and excellent organizational skills.
Ability to work effectively both independently and as part of a cross-functional team.
Salary
range - $162,096.00 - $187,000.00 (Compensation will vary based on skills, experience and location; it is not typical to be hired at or above the top of the salary range).
Full-time employees who are not on a commission plan are eligible for Verathon’s annual bonus plan based on company and individual performance.
Verathon provides a competitive benefits package including medical, dental, vision, basic life insurance, paid holidays, paid time off and a 401(k) matching plan.
For more information, please visit our complete Benefits Summary at https://www.verathon.com/sites/default/files/2026-02/US_HQ_Employee_Benefits_Summary.pdf .
About Verathon, Inc.
Medical Devices690 employeesFounded 1984
Manufacturer of medical devices for airway and bladder management.
