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Зарплата не указанаАктуальные технологииПонятная зона ответственностиПередовой AI-домен
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
AI Architect (Enterprise AI): Shaping customer AI strategies and designing secure, scalable architectures across ChatGPT Enterprise, the OpenAI API, Codex, and agentic AI solutions with an accent on technical account leadership, executive partnership, and production adoption. Focus on translating business priorities into use-case portfolios, guiding technical evaluations and proofs of value, and connecting deployment, adoption, and measurable customer impact.
Location: São Paulo, Brazil; hybrid
Company
AI research and deployment organization developing and deploying general-purpose AI systems with a focus on safety and broad human benefit.
What you will do
Own the technical relationship and account plan for a named portfolio of existing customers and pre-sales prospects.
Partner with Account Directors to translate business priorities into use-case portfolios, adoption roadmaps, technical milestones, and expansion opportunities.
Lead executive and technical discovery, demonstrations, workshops, prototypes, technical evaluations, and proofs of value.
Design Applied AI Architectures covering models, applications, data, integration, security, privacy, governance, evaluation, and deployment.
Coordinate deployment, implementation, enablement, product, domain, partner, and specialist teams while maintaining accountability for technical progress and customer outcomes.
Track adoption, usage, account health, production readiness, and measurable customer impact, and share customer insights with Product, Engineering, and Research.
Requirements
Significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
Experience guiding enterprise organizations from technical evaluation through production adoption and measurable business impact.
Ability to build credibility with senior technical and business leaders and communicate effectively with hands-on engineers.
Strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
Understanding of modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, and enterprise AI workflows.
Ability to prototype, explain technical trade-offs, and work confidently with APIs, SDKs, Python, or JavaScript.
Sound judgment about personal technical involvement, specialist engagement, handoffs, and ownership.
Experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
Meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses; clear communication, practical technical storytelling, cross-disciplinary collaboration, and commitment to responsible AI deployment.
Culture & Benefits
Work in a hybrid setup in São Paulo, Brazil.
Collaborate across Sales, Product, Engineering, Research, deployment, implementation, enablement, security, and partner teams.
Operate in an environment focused on responsible AI development, safety, and human needs.
Equal opportunity employment with reasonable accommodations available for applicants with disabilities.
Background checks are administered in accordance with applicable law.
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