AI-Driven Engineering Lead
We are seeking a highly skilled AI-Driven Engineering Lead to lead high-impact, AI-driven engineering initiatives from discovery to delivery. This individual will be accountable for technical excellence, team capability growth, and client success, ensuring every project aligns with our speed-to-impact model.
About the Role
* Lead multi-disciplinary engineering and product teams delivering AI-driven, cloud-native, and DevSecOps-enabled solutions at scale.
* Shape technical strategy - guiding clients through transformative adoption of fully AI-driven delivery models.
* Conduct technical analysis, define solution architectures, and facilitate client workshops to define project technical approaches.
* Implement best practices in AI-first engineering culture.
* Upskill and coach client teams in AI-driven ways of working and embed them in their culture.
This role requires proven leadership in engineering or technical consulting roles, ideally in cloud-native, DevOps, and AI-driven environments.
Required Skills and Qualifications
* Proven leadership in engineering or technical consulting roles, ideally in cloud-native, DevOps, and AI-driven environments.
* Strong background in software engineering, systems design, and architecture.
* Hands-on experience with AI coding assistants (e.g., GitHub Copilot) and prompt engineering best practices.
* Passion for AI in product engineering and a drive to continuously reinvent how we deliver products by harnessing the latest AI capabilities.
* Expertise in AWS or Azure, serverless architectures, and container orchestration.
* Mastery of DevOps practices: CI/CD, infrastructure as code, automation, and observability.
* Experience coaching and developing engineering teams in high-performance, agile environments.
* Familiarity with enterprise-scale toolchains (Atlassian suite, Azure DevOps, GitHub).
Benefits
* A stimulating and collaborative work environment.
* International mobility and cross-office opportunities.
* Internal R&D projects and innovation labs.
* A knowledge-sharing culture and personalized training paths.