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6 дней назад

Staff Deployment Strategist (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Deployment Strategist (AI): Designing and implementing agentic AI solutions and data governance patterns on a configuration-first platform with an accent on solution architecture and value realization. Focus on prototyping low/no-code AI agents and bridging the gap between ambiguous business requirements and enterprise-grade technical outcomes.

Location: Remote (USA). Ability to travel for customer and prospect onsite visits (approx. 15–30%) is required.

Company

hirify.global is a data intelligence platform powered by AI agents and trusted data, serving a large portion of the Fortune 100 to drive self-service analytics and AI innovation.

What you will do

  • Lead discovery sessions with customer stakeholders to identify business challenges and high-value opportunities for AI automation.
  • Rapidly prototype and validate AI agent solutions using low/no-code tools to demonstrate value.
  • Architect scalable, maintainable configuration-first solutions across complex customer ecosystems.
  • Own end-to-end delivery of complex deployments, from initial discovery through to consumption and value realization.
  • Facilitate decisions and run high-impact workshops with Director and Senior Director level stakeholders.
  • Develop reusable patterns, accelerators, and playbooks to improve platform delivery standards.

Requirements

  • Must be based in the USA.
  • 6+ years of experience in management consulting (strategy, operations, tech) or forward-deployed solution roles at data platform companies.
  • Technical fluency in SQL (essential), Python, APIs, and modern data architectures.
  • Demonstrated track record of building and deploying low/no-code solutions from prototype to production.
  • Strong communication skills and presence when engaging with Director/Sr. Director level stakeholders.
  • Working understanding of AI agent patterns, LLMs, data governance, and metadata management.

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