AI Engineer

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.

The AI Engineer plays a critical hands-on role in bringing Verathon’s AI strategy to life. This role is responsible for building, configuring, and deploying AI-powered solutions, including custom GPTs, copilots, automations, applications, and agentic workflows, that solve high-impact problems across the company. The AI Engineer partners closely with AI Business Partners and the AI Solutions Architect to translate business needs into scalable, secure, and compliant technical solutions.

 

This position is ideal for a practical builder who thrives in fast experimentation, iterative development, and enabling real-world value through AI. It includes technical context engineering, assembling prompts, instructions, retrieval logic, and agent workflows that reflect Verathon’s processes and domain knowledge.

• Design, develop, and deploy AI-powered solutions including custom GPTs, copilots, and agentic workflows using enterprise LLM platforms and APIs.
• Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data connectors to enable Verathon-owned data usage.
• Collaborate with AI Business Partners and other departmental representatives to translate functional requirements and use-case concepts into technical implementations.
• Translate business-defined context into structured prompts, system instructions, agent behaviors, and RAG retrieval logic (“technical context engineering”).
• Refine and optimize context injection strategies (prompt templates, chains, tools, memory, retrieval parameters) to improve solution reliability and accuracy.
• Prototype rapidly, iterate based on user feedback, and deliver production-ready AI solutions with appropriate guardrails.
• Develop reusable prompts, templates, automations, and components to accelerate future AI solution development.
• Integrate AI tools with Verathon systems (e.g., Salesforce, Epicor, MasterControl, HRIS) following architecture, security, and compliance standards.
• Partner with the AI Solutions Architect to evaluate and implement new AI tools and ensure alignment with Verathon’s AI Policy and Roper guidelines.
• Document solutions clearly and support functional teams through adoption, training, and scaling of deployed AI tools.

• Bachelor’s degree in computer science, engineering, information systems, data science, or related field.
• 3–7 years of experience in software development, automation engineering, data engineering, or applied AI development.
• Hands-on experience with Python, REST APIs, and modern AI/LLM frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex).
• Experience configuring and deploying AI tools such as ChatGPT Enterprise, Copilot, Claude, or similar enterprise AI platforms.
• Understanding of Retrieval-Augmented Generation (RAG), vector databases, and prompt design best practices.
• Familiarity with integration patterns for enterprise systems and cloud environments (Azure/AWS).
• Demonstrated ability to rapidly experiment, prototype, and iterate AI solutions based on business feedback.
• Strong collaboration skills and comfort working closely with business and technical stakeholders.

Who You Are

• A practical builder who enjoys turning ideas into working solutions quickly.
• Comfortable navigating ambiguity and translating loosely defined requirements into prototypes and production-ready tools.
• Hands-on with modern AI tools and excited about learning new technologies.
• Driven by impact; motivated to deploy solutions that make work faster, easier, and smarter across the organization.
• A collaborative partner who communicates clearly and earns trust through delivery.

Salary range - $115,000.00 - $231,000.00  (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.

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.
Why Verathon
Verathon is committed to becoming an AI-native organization where AI is how we work, grow, and win. Join us and help accelerate our transformation by building real AI solutions that unlock innovation, productivity, and operational excellence across healthcare technology.
 
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.