Senior System Architect

Verathon; Seattle (WA); On-site; USD 162,000 - 187,000; Full time

Benefits offered by this job

Benefits package

Job summary

Verathon is seeking a Senior System Architect in Seattle to lead AI/ML initiatives within the Information Technology organization. You will own end-to-end AI lifecycle, build scalable data pipelines, and deliver production-grade AI capabilities that drive business outcomes.

You will partner with stakeholders and the Data Engineering team to ensure secure, scalable solutions for analytics, automation, and decision support using Azure and other AI platforms.

Qualifications

• Bachelor’s degree with 6+ years of AI/ML experience or Master’s with 4+ years.
• Hands-on experience delivering end-to-end AI/ML in production.
• Strong data architecture and cloud platform knowledge.

Responsibilities

• Own AI/ML initiatives across Verathon.
• Perform full AI/ML lifecycle: problem definition, feature engineering, model training and evaluation.
• Deploy, monitor, and optimize AI/ML systems in production.

Skills

AI/ML lifecycle

Cloud platforms

SQL

Data analytics

Effective communication

Education

Bachelor’s degree with 6+ years of experience

Master’s degree with 4+ years of experience

Tools

Azure

LLM/Generative AI tools

Job description

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.

Responsibilities

• 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.
• 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.
• 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.

Qualifications

• 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.

EEO

Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you’re currently reading this and hesitating to click “Apply” for that reason, we encourage you to go for it! Even if you are not a match for this role, we may have another opportunity that may be a great fit.

Verathon is an equal opportunity employer and strongly supports diversity in the workplace. We believe that diverse ideas, opinions and perspectives will build a strong foundation for success. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Verathon will be based on merit, qualifications, and abilities. Verathon does not discriminate in employment opportunities or practices on the basis of race, color, religion, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by law.