AI ENABLEMENT ENGINEER – mobile applications at SQLI France

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

0.0

Posted On

01 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI-Assisted Engineering, iOS Development, Android Development, QA Automation, CI/CD Pipelines, GitHub Actions, Jenkins, Modular Architecture, LLM Automation, Developer Productivity, Software Engineering, API Integration, Engineering Governance, Technical Leadership, SDK Development, Device Testing Farms

Industry

IT Services and IT Consulting

Description

Company Description 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. Job Description 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. Qualifications 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. Additional Information 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. Job Category.: IT Type of contract: CDI Name on Job Ad: SQLI

Responsibilities

Drive the adoption of AI-assisted engineering practices to improve developer productivity and QA automation across Nespresso's mobile ecosystem. Collaborate with cross-functional teams to integrate AI tools into CI/CD pipelines and establish engineering standards.