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2 дня назад

Senior Engineering Manager (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Engineering Manager (AI): Leading the delivery of enterprise AI programs and managing a team of 20+ engineers with an accent on agentic AI solutions and strategic customer engagements. Focus on productionizing ML pipelines at scale, mentoring technical leadership, and aligning AI roadmaps with Fortune 500 business objectives.

Location: Warsaw, Poland

Company

hirify.global is a leading data cloud company empowering enterprises to unlock the power of AI and data analytics.

What you will do

  • Lead the end-to-end delivery of complex, multi-engineer AI engagements from scoping and architecture to deployment and monitoring.
  • Manage and mentor a team of 20+ Applied AI Engineers and Managers across the EMEA region.
  • Act as a hands-on contributor, designing and shipping high-quality ML pipelines and agentic AI solutions.
  • Serve as a strategic technical advisor to CTOs and Chief Data Officers of Fortune 500 strategic accounts.
  • Collaborate with Product and Engineering teams to translate real-world customer feedback into AI platform features.
  • Define the AI FDE practice in EMEA, establishing scoping standards, estimation discipline, and evaluation methodologies.

Requirements

  • 8+ years of software engineering experience, including 2+ years building production AI/ML systems with defined SLOs.
  • 5+ years of engineering management experience, with at least 2 years managing other managers.
  • Hands-on experience shipping applications using LLMs, RAG, agentic workflows, and fine-tuning.
  • Proven track record of running technical discussions and architecture reviews with C-level executive stakeholders.
  • Formal Computer Science degree or a closely related technical background.
  • Strong knowledge of Python, Java, and microservice architecture on Public Cloud platforms.

Culture & Benefits

  • Culture focused on impact, innovation, and collaboration with an experimental mindset.
  • Opportunity to work at the intersection of product, engineering, and customer success.
  • Dynamic, fast-moving environment aimed at redefining the future of work through AI.
  • Opportunity for travel to work onsite with strategic customers.

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