Role OverviewThe AI Productization Engineer turns successful AI and machine learning solutions into scalable, supportable, production-ready products. This role defines the standards, integration patterns, deployment methods, and readiness processes needed to move AI capabilities from pilot to enterprise production.
What You Will Do
Responsibilities include leading the transition of AI and machine learning solutions from pilot to production, developing reusable deployment, integration, and operational frameworks, and ensuring solutions meet expectations for reliability, scalability, monitoring, and support.
Why It Might Be a Fit
The ideal candidate brings expertise in software engineering, AI delivery, enterprise integrations, and production operations, and has a strong understanding of operational support and production delivery.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field
- 8+ years of software engineering, ML engineering, platform engineering, or AI engineering experience
- Experience deploying AI or ML capabilities into production environments
- Experience designing scalable enterprise integration solutions
- Strong understanding of operational support and production delivery
- Strong communication and stakeholder management skills
Benefits
- Dental insurance
- Vision insurance
- Health insurance
- 401(k) or pension plan
- Paid time off
- Vacation days
- Sick leave
- Holiday pay
- Flexible work arrangements
- Professional development opportunities
]]>