AI Coach – Software Engineering

ph3AI Coach – Software Engineering AI Adoption /h3 ulliFull-time /li /ul pArηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. /p pArηs Group was acquired by Accenture in July 2024. /p pArηs 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. /p pThis 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 /p h3Role Responsibilities /h3 h3AI Adoption Coaching /h3 ul liDrive the adoption of AI tools and AI‑enabled ways of working across software development teams. /li liCoach engineers and technical teams on the effective use of GitHub Copilot and AI‑assisted development practices. /li liIdentify, evaluate, and implement high‑value AI use cases throughout the software development lifecycle. /li liSupport teams in transitioning from experimentation to repeatable, scalable, and measurable AI‑driven processes. /li liAct as a trusted advisor for engineering leaders and development teams on AI adoption strategies. /li /ul h3Software Engineering Excellence /h3 ul liPromote software engineering best practices in AI‑assisted development environments. /li liDefine and support standards relating to AI‑generated code quality, testing, documentation, security, and maintainability. /li liGuide teams on balancing AI capabilities with human expertise and engineering judgment. /li liEnsure appropriate human oversight remains embedded within software delivery processes. /li liEncourage continuous improvement and knowledge sharing across engineering teams. /li /ul h3Governance Responsible AI /h3 ul liContribute to the definition and implementation of governance frameworks for AI usage within software development. /li liResponsible use of AI‑generated content /li liSupport the implementation of monitoring and reporting mechanisms related to AI usage and consumption. /li liPromote compliance, security, and ethical AI practices throughout the organization. /li /ul h3Training Change Management /h3 ul liDesign and deliver engaging training sessions, workshops, and coaching programs. /li liCreate practical learning materials tailored to software engineers, technical leads, architects, and managers. /li liDevelop and nurture communities of practice and networks of AI champions. /li liLead change management initiatives supporting AI adoption across teams. /li liFoster a culture of experimentation, learning, innovation, and continuous improvement. /li /ul h3Your profile /h3 ul liStrong coaching and mentoring capabilities with the ability to influence technical teams. /li liExcellent communication, presentation, and stakeholder management skills. /li liProven facilitation skills for workshops, training sessions, and collaborative discussions. /li liStrong change management and organizational transformation experience. /li liEmpathetic and approachable, with excellent listening skills. /li liAbility to bridge technical and business perspectives. /li liProactive, collaborative, and results‑oriented mindset. /li liPassion for innovation, continuous learning, and developer enablement. /li liProfessional proficiency in bEnglish /b and bFrench /b, both written and spoken. /li liAbility to facilitate workshops, coaching sessions, and training programs in both languages. /li /ul h3Technical Skills /h3 ul liStrong experience in software engineering, software architecture, or technical leadership roles. /li liHands‑on background in software development and software delivery. /li liProven expertise with modern software engineering practices, including: ul liCI/CD pipelines /li liDevOps methodologies /li liTest automation /li liCode review processes /li /ul /li liExtensive experience with bGitHub Copilot /b and AI‑assisted software development. /li liStrong understanding of: ul liLarge Language Models (LLMs) /li liPrompt engineering techniques /li liAI agents and agentic workflows /li liAI‑enabled software development practices /li /ul /li liKnowledge of software quality, security, maintainability, and engineering governance. /li liExperience establishing standards and frameworks for responsible AI adoption in engineering environments. /li liFamiliarity with monitoring and optimiz