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Зарплата не указанаСильный акцент на ИИГибридный формат работыПродуктовая компания
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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