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Engagement Manager (AI)

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

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TL;DR
Engagement Manager (AI): Coordinating QVAC-based AI deployments from initial scoping through production rollout across enterprise, government, and institutional environments with an accent on client engagement, technical coordination, and delivery governance. Focus on aligning business requirements with local and delegated inference capabilities, integrating APIs and SDKs, and managing risks across complex multi-stakeholder implementations.

Location: Remote worldwide; the team works remotely from every corner of the world.

Company

hirify.global develops reserve-backed digital tokens, blockchain infrastructure, AI and peer-to-peer technology, energy solutions, and digital learning products.

What you will do

  • Act as the primary contact for clients and partners throughout AI implementation initiatives.
  • Translate business requirements into AI deployment strategies using QVAC local inference, delegated compute, and privacy-preserving architectures.
  • Lead end-to-end coordination of QVAC implementations from kickoff through production deployment.
  • Define roadmaps, milestones, dependencies, implementation plans, and governance frameworks across models, infrastructure, and integrations.
  • Coordinate product, engineering, research, legal, compliance, client, and partner stakeholders.
  • Track risks, blockers, decisions, executive updates, escalations, and reusable implementation documentation.

Requirements

  • 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
  • Experience managing cross-functional implementations involving internal teams, clients, and external partners.
  • Understanding of AI/ML deployment concepts, including model inference, edge or local AI, and distributed compute architectures.
  • Understanding of APIs, SDK integrations, and system architecture patterns, with the ability to discuss technical topics with engineering teams.
  • Strong communication, stakeholder management, project tracking, documentation, and governance skills.
  • Ability to manage ambiguity and work in fast-evolving, early-stage environments.

Nice to have

  • Experience with decentralized technologies, blockchain, or privacy-preserving systems.
  • Exposure to AI infrastructure tooling or MLOps workflows.
  • Experience in regulated industries or public sector projects.
  • Basic familiarity with Python, APIs, or CLI tools.

Culture & Benefits

  • Remote work from every corner of the world.
  • Work within a global, lean, and fast-growing fintech organization.
  • Contribute to products spanning stablecoins, blockchain, AI, energy, and digital education.

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