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Applied AI Architect

OpenAI· Go To Market
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Hybrid (Seoul, South Korea)Full-timePosted 9mo ago

About the role

Senior technical owner for a named portfolio of customers, shaping AI strategy and guiding adoption of OpenAI's models and agentic AI solutions from pre-sales through production with 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

  • Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
  • Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact.
  • Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers.
  • Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
  • Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
  • Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript.
  • Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership.
  • Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
  • Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses.
  • Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan.
  • Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly.
Last updated Aug 13, 2026. Interested? Apply on the company site.

About OpenAI

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