Principal Systems Architect Platforms AI Integration, DTG

Pure Storage

Prague, Czech Republic

Full Time

Posted April 21, 2026

Not Specified

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Job Description

A Software Systems Architect responsible for designing and leading the development of complex, distributed, and AI-driven systems within a cloud environment, mentoring engineering teams, and aligning technical strategies with business goals to drive innovation and ensure scalable, secure, and resilient platforms.

Key Responsibilities

Design and oversee the architecture of complex, distributed systems to align with business goals for scalability and maintainability
Lead technical execution by building Proof of Concepts, conducting demonstrations, and creating high-quality design documentation
Review and approve architectural proposals to ensure performance, reliability, and security standards are met
Drive adoption of Agentic services and AI orchestration layers to solve business problems
Mentor a team of developers to improve design practices, testing, and coding standards
Collaborate with global teams to translate high-level roadmaps into actionable technical strategies
Standardize data environment integrations to support data engineering and AI workflows at scale

Requirements

10 years of professional experience in software development and architecture, including hands-on coding skills in Python preferred or Java.
Deep, hands-on experience architecting resilient microservices and distributed systems within AWS specifically utilizing SQS, SNS, and SageMaker.
A sophisticated understanding of Agentic AI architecture, including multi-agent orchestration, LLM-powered tool calling, and the integration of prediction models into business workflows.
A track record of resolving highly complex technical challenges involving large-scale data engineering, enterprise integration, or AI-driven automation.
Professional familiarity with modern data and integration platforms such as Snowflake, dbt, Fivetran, SnapLogic, Boomi, or Reltio.
Ability to design and lead end-to-end design of complex, distributed systems by creating high-fidelity blueprints that align technical strategy with internal business goals for scalability and maintainability.
Ability to act as the final authority on technical designs, rigorously reviewing architectural proposals to mitigate risks in performance, reliability, and security before they reach production.
Proven ability to influence engineering culture through technical excellence, high-quality documentation, and a quality-first approach to testing.
Experience in driving the adoption of Agentic services and prediction models, architecting orchestration layers that enable AI agents to solve business problems for global stakeholders.
Experience in coaching and mentoring a community of at least 30 developers to improve mastery of design-led development, advanced unit functional testing practices, and modern coding standards.
Ability to translate high-level global roadmaps into actionable technical strategies in close collaboration with senior leadership.
In-office work capability at the Prague office in compliance with company policies.