Senior AI Engineer, Medical Devices
Goodwin Recruiting, Dundee, OR, 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.
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.