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Senior AI Engineer, Medical Devices

Goodwin Recruiting
2 hours ago
Full-time
On-site
Dundee, Oregon, United States
We are partnering with a leading, privately held manufacturer in the healthcare and industrial space to hire a

Senior AI Engineer . This is a high-impact role designed for a hands-on engineer who wants to build and deploy AI solutions that drive real business outcomes. This opportunity is ideal for someone who enjoys solving practical problems, working cross-functionally, and delivering measurable impact through applied AI, not just theory. ?Senior AI Engineer Benefits

Competitive base salary with flexibility for top talent Annual bonus and profit-sharing program 401k with company contribution Comprehensive healthcare coverage Opportunity to work on high-impact initiatives within a stable, growing organization Strong focus on long-term career development and technical growth Senior AI Engineer Responsibilities

Design, build, and deploy

machine learning models and AI-driven solutions

across the business Apply AI to improve

automation, forecasting, decision-making, and operational efficiency Develop and productionize

LLM-based solutions , including retrieval-augmented generation and agentic workflows Integrate AI capabilities into

existing enterprise systems

(ERP, CRM, data platforms) Build and maintain

data pipelines and scalable AI systems Partner cross-functionally with engineering, data, and business teams to solve real-world problems Evaluate and integrate

third-party tools and AI platforms

where appropriate Ensure solutions are

production-ready, secure, and aligned with responsible AI practices Senior AI Engineer Qualifications

6+ years of experience in AI, machine learning, or data science Proven experience building and deploying

production-level AI/ML solutions Strong programming skills in

Python

and experience with frameworks such as TensorFlow or PyTorch Experience working with

cloud platforms

(AWS, Azure, or GCP) and data pipelines Experience applying AI to

real-world business problems , not just research or academic use cases Strong understanding of

system design, data pipelines, and model deployment Ability to work effectively in a

cross-functional, collaborative environment Experience in manufacturing, healthcare, or industrial environments is a plus This role is ideal for a builder who wants to focus on execution and delivery, working on real-world AI applications in a complex, operational environment.