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.