AI ENABLEMENT ENGINEER – mobile applications

As leading European customer experience and digital transformation services group, SQLI empowers international brands to generate value through digital innovation. We craft engaging experiences by combining cutting-edge technology, proven methodologies, and deep technological expertise. At every stage, AI is embedded as a core driver of value—enhancing insights, automation, personalization, and scalability. From strategy to deployment, we design and build robust, high-performing architectures that enhance agility, boost efficiency, and drive sustainable business growth. What sets us apart? A unique mix of cross-disciplinary talent, global delivery strength, and an obsession with client outcomes. We Elevate. Digitally.

We are looking for a role whose main goal is to drive the adoption of AI-assisted engineering practices across Nespresso’s mobile applications ecosystem, improving developer productivity, QA automation, CI/CD workflows, operational efficiency, integration quality, and engineering standards. This role works closely with Engineering, QA, Architecture, Platform, and DevOps teams, ensuring AI initiatives remain aligned with platform standards, governance, security, and enterprise delivery roadmaps.

Main responsibilities

Evaluate and promote AI-assisted engineering tools and workflows aligned with enterprise standards and architecture principles Collaborate with Mobile Platform team, QA, and DevOps teams to identify automation and productivity opportunities across frontend, backend, APIs, integrations, and CI/CD pipelines Define and implement AI-assisted engineering practices across mobile development, QA, and delivery pipelines. Integrate AI-assisted practices into shared frameworks, SDKs, testing utilities, modular architectures, and CI/CD tooling. Drive adoption of AI-assisted tools, automation, and engineering workflows across development teams. Support teams with best practices around AI-assisted development, code review, test generation, documentation, and automation. Define and track engineering productivity and QA metrics, identifying opportunities for continuous improvement. Promote consistent adoption of AI-assisted practices across teams, contributing to engineering governance and shared standards.

Bachelor's degree in computer science, Software Engineering, or equivalent. Proven experience with AI-assisted software engineering workflows, agents, and modern development tooling. Experience developing mobile applications on iOS and/or Android platforms, including modular architectures and shared platform development. Experience with QA automation, device testing farms, and CI/CD platforms such as GitHub Actions and Jenkins. Experience integrating automation, testing, and quality controls into engineering delivery pipelines. Ability to quickly understand existing engineering ecosystems and work effectively across multiple teams. Strong collaboration and communication skills in distributed engineering organizations Ability to train and support teams adopting new engineering practices, tooling, and workflows.

Extra Skills

Strong autonomy and ability to proactively identify opportunities and drive initiatives Strong collaboration and governance mindset, with focus on consistency, alignment, and knowledge sharing across teams. Ability to drive adoption and influence engineering practices without direct authority. Familiarity with LLM-based automation and enterprise AI tooling evaluation/adoption. Experience improving developer experience, engineering velocity, release quality, or automation maturity.