AI Enablement Engineer - Mobile Applications
Role details
Job location
Tech stack
Job description
GitHub Actions Jenkins Descripción del empleo, * Evaluate and promote AI-assisted engineering tools and workflows aligned with enterprise standards and architecture principles
- Collaborate with the Mobile Platform team, QA, and DevOps teams to identify automation and productivity opportunities across mobile, 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
Requirements
The ideal candidate will have a Bachelor's degree in Computer Science, experience with mobile app development, and proven success in AI-assisted workflows. Strong communication and collaboration skills are also essential., * Proven experience with AI-assisted software engineering workflows and tooling.
- Experience developing mobile applications on iOS and/or Android platforms.
- Strong autonomy and ability to drive initiatives without direct authority.
Responsabilidades
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Evaluate and promote AI-assisted engineering tools aligned with enterprise standards.
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Collaborate with Mobile Platform, QA, and DevOps teams to improve productivity.
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Define and implement AI-assisted engineering practices across mobile development., AI-assisted software engineering workflows Mobile applications development Collaboration and communication QA automation Device testing farms CI/CD platforms Training and support Drive initiatives, Bachelor's degree in Computer Science or Software Engineering, * Bachelor's degree in Computer Science, Software Engineering, or equivalent
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Proven experience with AI-assisted software engineering workflows, agents, and modern development tooling
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Experience developing mobile applications on iOS and/or Android platforms, including modular architectures and shared platform development
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Experience with QA automation, device testing farms, and CI/CD platforms such as GitHub Actions and Jenkins
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Experience integrating automation, testing, and quality controls into engineering delivery pipelines
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Ability to quickly understand existing engineering ecosystems and work effectively across multiple teams
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Strong collaboration and communication skills in distributed engineering organizations
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Ability to train and support teams adopting new engineering practices, tooling, and workflows
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Strong autonomy and ability to drive initiatives without direct authority
Nice to have:
- Familiarity with LLM-based automation and enterprise AI tooling evaluation/adoption
- Experience improving developer experience, engineering velocity, release quality, or automation maturity