iKnowHow S.A.

Azure Application Architect

🇬🇷 Maroúsi, Griechenland Hybrid Veröffentlicht Mai 26, 2026
Arbeitsort Hybrid
Sprache English
Veröffentlicht 26. Mai 2026
Zuletzt geprüft 28. Mai 2026
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Rollenübersicht von JobGrid

Azure Application Architect at iKnowHow S.A.: Maroúsi, Griechenland; Hybrid. 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, Griechenland, Hybrid
  • 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