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Applied AI Architect (Brazil)

OpenAI· Go To Market
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Hybrid (São Paulo)Full-timePosted 4mo ago

About the role

Senior technical owner for a named portfolio of customers, shaping AI strategy and guiding adoption of OpenAI solutions from pre-sales through production with focus on measurable business impact.

Responsibilities

  • Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects.
  • Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities.
  • Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes.
  • Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment.
  • Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production.
  • Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans.
  • Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders.
  • Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams.
  • Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged.
  • Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization.
  • Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities.
  • Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices.

Qualifications

  • Significant experience in customer-facing technical roles (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 with hands-on engineers.
  • Strong software and cloud architecture foundations (APIs, distributed systems, data integration, identity, security, privacy).
  • Understanding of modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
  • Ability to prototype, explain technical tradeoffs, and work with APIs, SDKs, and languages such as Python or JavaScript.
  • Judicious decision-making on deep involvement vs. handoffs and ownership.
  • Experience developing technical account plans, prioritizing complex portfolios, and linking adoption to outcomes.
  • Relevant industry expertise or fluency with digital-native business needs.
  • Clear communication and ability to translate ambiguity into practical technical narratives, executive decisions, or action plans.
  • Collaborative across disciplines and commitment to responsible AI deployment.

Skills

Required:Technical account managementSolution architectureAI systems and model knowledgeCommunication with executives and engineers
Last updated Oct 15, 2026. Interested? Apply on the company site.

About OpenAI

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