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3 дня назад

Senior Principal Software Architect, DataEdge Strategy & Architecture (AI)

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Principal Software Architect, DataEdge Strategy & Architecture (AI): Defining and driving the technical strategy for an integrated data platform spanning data integration, replication, synchronization, virtualization, and data intelligence with an accent on cloud-native architecture, shared services, and AI-enabled capabilities. Focus on designing reusable APIs and platform frameworks, integrating LLMs, agentic systems, MCP, and retrieval architectures, and aligning cross-product architecture and technology roadmaps.

Location: Ontario, Canada (Remote)

Employment type: Full time

Company

hirify.global develops enterprise software and data solutions for distributed, cloud, and mainframe environments.

What you will do

  • Define the DataEdge platform strategy and translate business priorities into a cross-product technical roadmap.
  • Align Product Management, Engineering, Support, architects, and executive stakeholders on platform investments and architectural decisions.
  • Drive reusable services, APIs, frameworks, shared platform capabilities, and technology consolidation.
  • Define cloud-native approaches for deployment, configuration, scalability, observability, security, and operational excellence.
  • Lead the integration of AI platform capabilities, intelligent automation, MCP, and agentic systems across the portfolio.
  • Lead architecture reviews, communicate trade-offs, mentor senior technical talent, and represent the technology vision internally and externally.

Requirements

  • Minimum 10 years of software engineering experience.
  • Experience defining architecture and technology strategy across multiple enterprise products or platforms.
  • Strong expertise in LLMs, agentic systems, MCP, retrieval architectures, enterprise AI integration, and responsible AI patterns.
  • Deep expertise in cloud-native architecture, containers, Kubernetes, distributed systems, and modern software delivery.
  • Experience building shared platforms, services, APIs, or reusable frameworks and leading technology consolidation.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical discipline.

Culture & Benefits

  • Remote work based in Ontario, Canada.
  • Minimal travel requirement of 5%–10%.
  • Commitment to an inclusive, diverse, equitable, and accessible workplace.
  • Continuous learning and responsible use of AI-powered tools are part of the working approach.
  • Background and reference checks are part of the hiring process.

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