12 дней назад
AI Integration Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Integration Engineer (AI/Enterprise Integration): Building APIs, middleware components, automation services, and automated QA frameworks that integrate AI capabilities with enterprise applications and platforms, with an accent on .NET, C#, Python, Azure Integration Services, and Power Platform. Focus on designing reusable integration patterns, validating AI outputs and workflows, and building functional, integration, regression, and performance test suites.
Location: Dublin, Ireland
Company
is creating an AI R&D capability within IT Corporate Functions to develop and industrialise AI-driven solutions across the group.
What you will do
- Design and develop integration components connecting AI services with enterprise applications.
- Build APIs, middleware components, and automation services for AI solutions.
- Integrate AI capabilities with Dynamics 365, Microsoft 365, Power Platform, and other corporate systems.
- Define reusable integration patterns and support deployment automation and operational readiness.
- Develop automated QA frameworks and functional, integration, regression, and performance test suites.
- Validate AI outputs, workflows, and business process integrations in collaboration with the Porto AI team.
Requirements
- Strong software engineering background.
- Experience with .NET, C#, Python, REST APIs, and cloud-native architectures.
- Experience integrating enterprise applications and SaaS platforms.
- Knowledge of Azure Integration Services and Power Platform.
- Experience developing automated testing frameworks and applying QA methodologies to AI-enabled solutions.
- Strong troubleshooting and analytical skills.
Culture & Benefits
- Participation in a new AI R&D team based in Dublin.
- Collaboration with the IT-CF AI team based in Porto.
- Work on emerging AI technologies, intelligent automation, machine learning, generative AI, and enterprise integration.
- Contribute to AI strategy, technology roadmaps, reusable capabilities, and accelerators.
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