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обновлено 13 дней назад

Forward Deployed Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
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
Forward Deployed Architect (AI): Designing and delivering AI-driven business transformation projects, including AI agents, workflows, integrations, and solution prototypes, with an accent on enterprise architecture, applied AI, and customer-facing implementation. Focus on translating business requirements into scalable architectures, integrating external systems, optimizing agent performance, and leading end-to-end deployment execution.

Location: Austin, Texas, United States; willingness to travel up to 50% for on-site customer discovery, deployment, and engagement

Company

hirify.global is building Computer, an AI teammate and AI-ready platform that unifies data sources, tools, and workflows to support agentic actions and team intelligence.

What you will do

  • Own the end-to-end architecture and delivery of AI-driven business transformation projects.
  • Work with pre-sales teams to scope integrations and translate business requirements into technical solution designs.
  • Build proofs of concept, custom integrations, solution prototypes, AI agents, workflows, and connectors.
  • Integrate AI agents with CRMs, APIs, databases, and other external enterprise systems.
  • Lead project execution, coordinate internal and external stakeholders, and ensure timely deployment.
  • Partner with customers through discovery, live demonstrations, iteration, and technical advisory engagements.

Requirements

  • 5+ years of experience in software development, AI/ML engineering, or technical consulting with customer-facing experience.
  • Strong proficiency in TypeScript/JavaScript, Python, data structures, and algorithms.
  • Experience with LLMs, prompt engineering, RAG, function calling, and evaluation of agentic AI solutions.
  • Experience designing scalable enterprise architectures with security, scalability, and identity management considerations.
  • Hands-on enterprise-scale experience with AWS, GCP, or Azure and modern DevOps practices, including CI/CD, containers, and observability.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.

Nice to have

  • Advanced degrees or certifications in AI or architecture frameworks such as TOGAF or SAFe.

Culture & Benefits

  • Collaborate across pre-sales, customer success, engineering, product, and customer teams.
  • Work according to values focused on bridging roles, giving direct feedback, and owning outcomes.
  • Customer-facing work comprises approximately 30–50% of the role.
  • Hands-on technical implementation comprises approximately 30–50% or more of the role.

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