iKnowHow S.A.

Azure Application Architect

🇬🇷 Maroúsi, Греція Гібридно Опубліковано Тра 26, 2026
Локація Maroúsi, Греція
Формат роботи Гібридно
Мова English
Опубліковано 26 травня 2026 р.
Остання перевірка 28 травня 2026 р.
Контекст JobGrid

Огляд ролі від JobGrid

Azure Application Architect at iKnowHow S.A.: Maroúsi, Греція; Гібридно. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Maroúsi, Греція, Гібридно
  • Source freshness: checked by JobGrid on 2026-05-28.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

iKnowHow Group is a dynamic, international technology company with 24+ years of experience and a team of 300+ talented professionals delivering innovative technology solutions across Energy, Telecommunications, Banking & Financial Services, and the Public Sector.

Through its specialized subsidiaries, it brings domain expertise in areas such as Health and Robotics, blending deep industry knowledge with advanced, future-ready technologies.

At its core, iKnowHow S.A. delivers end-to-end project development - both internal and client-facing - turning strategy into scalable, real-world solutions. Our portfolio spans Data & AI platforms, enterprise integration, cloud-native applications, and large-scale digital transformation initiatives, enabling leading organizations across the public and private sectors to evolve and grow.


We’re now looking for a visionary Azure Application Architect to lead the design and implementation of AI-powered applications on Microsoft Azure. He will define the technical strategy, select the right tools and services, and guide the team in building scalable, secure, and impactful AI solutions.

Responsibilities:

  • Architect end-to-end Azure & AI solutions
  • Be responsible of application modernization & deployment
  • Collaborate with stakeholders to translate business needs into technical designs
  • Define cloud infrastructure, data pipelines, and integration patterns
  • Ensure scalability, performance, and security of AI applications
  • Mentor engineers and contribute to technical excellence across the team