AI Platform Engineer — Deployments & Adoption

Experis (Austria); Charlotte (NC); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Plan

Supplemental Life Insurance

Short Term and Long Term Disability

Business Travel Insurance

Weekly Pay

Job summary

ManpowerGroup, through its Experis staffing brand, is seeking an AI Software Engineer to drive Devin deployments and customer-ready integrations in enterprise environments. You will own deployment through activation, partner with clients to identify high-impact use cases, and lead efforts to translate real-world learnings into actionable product direction.

The role requires a strong engineering background, a proven track record in high-performance settings, and the ability to travel 25–50% in a

Qualifications

• Strong engineering foundation developed in a rigorous technical environment.
• Demonstrated track record of high performance in academic, professional, or entrepreneurial settings.
• Self-directed approach with ability to prioritize and drive next steps.

Responsibilities

• Own technical aspects of the customer lifecycle—from deployment through activation.
• Partner with customers to understand challenges and identify best use cases for Devin.
• Build relationships with customer engineering teams to ensure smooth product integration and adoption.
• Listen to customer feedback and advocate for needs by implementing requested features.

Skills

Engineering foundation

Communication skills

Self-directed

Travel readiness

Job description

ManpowerGroup, through its Experis staffing brand, is seeking an AI Software Engineer to drive Devin deployments and customer-ready integrations in enterprise environments. You will own deployment through activation, partner with clients to identify high-impact use cases, and lead efforts to translate real-world learnings into actionable product direction.

The role requires a strong engineering background, a proven track record in high-performance settings, and the ability to travel 25–50% in a