AI Coach – Software Engineering & AI Adoption

About this role

Arηs Group, Part of Accenture, is looking for an experienced AI Coach to drive the adoption of AI-enabled practices within software engineering teams for one of our clients, a global technology leader with a strong focus on advanced healthcare technologies." This role focuses on maximizing the value of AI-assisted development while promoting responsible, scalable, and compliant ways of working. As AI Coach, you will contribute to enhancing developer productivity, strengthening engineering practices, and establishing sustainable governance frameworks for AI usage.

ARHS Developments Belgium Role & Responsibilities AI Adoption & Coaching Drive the adoption of AI tools and AI-enabled ways of working across software development teams. Coach engineers and technical teams on the effective use of GitHub Copilot and AI-assisted development practices. Identify, evaluate, and implement high-value AI use cases throughout the software development lifecycle. Support teams in transitioning from experimentation to repeatable, scalable, and measurable AI-driven processes.

Act as a trusted advisor for engineering leaders and development teams on AI adoption strategies. Software Engineering Excellence Promote software engineering best practices in AI-assisted development environments. Define and support standards relating to AI-generated code quality, testing, documentation, security, and maintainability. Guide teams on balancing AI capabilities with human expertise and engineering judgment.

Ensure appropriate human oversight remains embedded within software delivery processes. Encourage continuous improvement and knowledge sharing across engineering teams. Governance & Responsible AI Contribute to the definition and implementation of governance frameworks for AI usage within software development. Establish practical guidelines covering: Human-in-the-loop validation Prompt engineering best practices Secure coding principles Responsible use of AI-generated content Support the implementation of monitoring and reporting mechanisms related to AI usage and consumption.

Promote compliance, security, and ethical AI practices throughout the organization. Training & Change Management Design and deliver engaging training sessions, workshops, and coaching programs. Create practical learning materials tailored to software engineers, technical leads, architects, and managers. Develop and nurture communities of practice and networks of AI champions. Lead change management initiatives supporting AI adoption across teams.