Drimva

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

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)