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Senior AI/ML Data Architect – Cloud and Agent-based Systems

ITDSPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano6 sierpnia 2026
Wykryte przez nas
Wykryte przez nas7 sierpnia 2026
Zarobki
Zarobki21 000 - 29 400 PLN

ITDS is seeking a Senior AI/ML Data Architect to join our team and lead the development of cutting-edge, AI-native cloud platforms tailored for the financial services industry. In this role, you will act as a hands-on technical leader, designing scalable distributed systems and crafting high-performance, production-grade solutions that integrate advanced AI capabilities.

Key responsibilities

  • Design and develop highly scalable, cloud-native platforms across major cloud providers like AWS, Azure, OCI, and GCP.
  • Architect distributed systems, APIs, event-driven services, and core platform components.
  • Drive engineering excellence through clean architecture, rigorous testing, CI/CD pipelines, and operational best practices.
  • Own systems end-to-end, from initial design through production deployment and ongoing operations.
  • Collaborate with product teams and AI specialists to deliver robust, enterprise-grade software solutions.

Requirements

  • Extensive software engineering experience with hands-on coding expertise in Python, Java, or Go.
  • Deep experience in designing, building, and operating cloud-native applications on AWS, Azure, OCI, or GCP.
  • Strong understanding of distributed systems, scalability, resilience, performance optimization, and security.
  • Proven track record of delivering high-reliability production systems using modern engineering practices.
  • Excellent system design skills and the ability to communicate complex technical concepts effectively.

What we offer

  • The opportunity to work on innovative, AI-native cloud technologies in a high-impact financial sector environment.
  • A role that balances hands-on technical contribution with the ability to influence and mentor talented engineering teams.
  • A fully remote working environment that supports autonomy and professional growth.
  • Exposure to cutting-edge tools and architectures within a collaborative, forward-thinking organization.

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