Lenovo
Senior Field AI Solutions Engineer
$140K–$214K
Morrisville, North Carolina · Senior · Full-time · Posted Jul 1, 2026
- Experience
- 5+ years in solution deployment, systems integration, software engineering, field implementation, or related technical roles.
- Education
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, or a similar degree.
About the job
Deploys, integrates, and optimizes AI-powered solutions in customer environments, serving as the technical lead for field implementation and feeding deployment findings back to Lenovo’s R&D teams.
What you'll do
- Deploy and integrate AI solutions with customer infrastructure, IT and operational systems, APIs, and databases.
- Tune, validate, troubleshoot, and optimize Computer Vision and AI models in production; analyze field performance and deployment data.
- Lead customer deployments, resolve technical issues, conduct acceptance testing, train customer teams, and document field findings for R&D.
What they ask for
- 5+ years of experience in solution deployment, systems integration, software engineering, field implementation, or related technical roles.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, or a similar degree.
- Practical experience deploying, tuning, validating, and troubleshooting Computer Vision and AI-based solutions in production environments.
- Ability to diagnose and resolve complex technical issues across software, infrastructure, and deployed systems.
Nice to have
- Experience in manufacturing, industrial automation, computer vision, AI platforms, or intelligent edge solutions.
- Mandarin language proficiency.
Pay
139,800–214,360 USD annual compensation range; individuals may also be considered for bonuses and/or commissions.
Tools
Python, Computer Vision, APIs
AI focus
Deploying and operationalizing AI-powered solutions, including production Computer Vision and AI models; tuning and validating models, analyzing field performance, and feeding findings to R&D for product and model improvement.
Model-written summary · the original posting is authoritative