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Applied AI Architect, Education

OpenAI· Go To Market
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Hybrid (London, UK)Full-timePosted 1mo ago

About the role

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

Responsibilities

  • Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing education customers and pre-sales prospects.
  • Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, value-realization path, and expansion opportunities.
  • Lead discovery with institutional executives, academic leaders, researchers, faculty, administrators, and technical teams to identify and prioritize use cases connected to meaningful institutional objectives.
  • Translate education priorities into clear Applied AI Architectures spanning models, applications, institutional data, identity, integrations, security, privacy, governance, evaluation, and deployment.
  • Guide institutions through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, building confidence in both the solution and its responsible path to production.
  • Translate institutional objectives into actionable adoption roadmaps with clear workstreams, sequencing, milestones, stakeholder ownership, governance, risks, success measures, and change-management needs.
  • Develop a focused use-case portfolio across teaching and learning, research, student and faculty services, knowledge management, software development, and administrative operations.
  • Build trusted relationships and technical champions across CIOs, CTOs, CISOs, provosts, deans, research leaders, faculty, administrators, and other institutional stakeholders.
  • Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, Product, Research, education 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.
  • Identify repeatable education patterns and reusable architectures that can accelerate responsible adoption across institutions, departments, campuses, and education systems.
  • Translate field insights into actionable feedback for Product, Engineering, and Research, representing the needs and production patterns of education customers.
  • Help identify expansion opportunities where OpenAI can support additional academic, research, administrative, or operational workflows.

Qualifications

  • Significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
  • Guided complex organizations from technical evaluation through production adoption and measurable value realization.
  • Ability to build credibility with senior technical and business leaders while communicating 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, or enterprise AI workflows.
  • Ability to prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript.
  • Judgment to decide when to dive deep or escalate to specialists and to define clear handoffs and ownership.
  • Experience developing technical account plans, prioritizing complex customer portfolios, and linking adoption to measurable outcomes.
  • Ability to translate technical capabilities into institutional value across priorities like student success, research productivity, faculty enablement, administrative effectiveness, accessibility, risk, and governance.
  • Strong communication skills to translate ambiguity and complex technical choices into actionable plans.
  • Collaborative mindset across disciplines with a focus on safe, responsible deployment of AI in education.
  • Experience in education technology, higher education, K–12 systems, or mission-driven environments is a plus.

Skills

Required:Technical account planningSolution architectureAI deployment
Nice to have:Education sector knowledge

Benefits

  • Relocation assistance
  • Hybrid work model (3 days in the office per week)
Last updated Sep 3, 2026. Interested? Apply on the company site.

About OpenAI

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