AI Adoption Coach — Software Engineering Excellence

ARHS; Ottignies-Louvain-la-Neuve; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Meal allowance

European projects

Training opportunities

Collaborative culture

Job summary

ARHS Developments Belgium is seeking an experienced AI Coach to drive AI-adoption within software teams for a leading healthcare technology client. You will promote responsible AI practices, coach engineers on AI-enabled development, and help define governance for AI usage.

The role focuses on improving developer productivity, ensuring quality and security, and delivering scalable, compliant AI-enabled software delivery across the organization.

Qualifications

• Strong coaching and mentoring capabilities with the ability to influence technical teams.
• Excellent communication, presentation, and stakeholder management skills.
• Proven facilitation skills for workshops, training sessions, and collaborative discussions.
• Strong change management and organizational transformation experience.
• Empathetic and approachable, with excellent listening skills.

Responsibilities

• Drive the adoption of AI tools and AI-enabled ways of working across software development teams.
• Coach engineers and technical teams on AI-assisted development practices using GitHub Copilot.
• Identify, evaluate, and implement high-value AI use cases throughout the SDLC.
• Support teams in transitioning from experimentation to scalable AI-driven processes.
• Contribute to governance, responsible AI, training, and change management efforts.

Skills

Coaching

Stakeholder management

Workshop facilitation

Change management

Communication

Tools

GitHub Copilot

Job description

ARHS Developments Belgium is seeking an experienced AI Coach to drive AI-adoption within software teams for a leading healthcare technology client. You will promote responsible AI practices, coach engineers on AI-enabled development, and help define governance for AI usage.

The role focuses on improving developer productivity, ensuring quality and security, and delivering scalable, compliant AI-enabled software delivery across the organization.