Назад
8 часов назад

Applied AI Architect Education

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Страна
UK
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Описание вакансии

TL;DR
Applied AI Architect Education (AI/LLM): Designing and deploying AI architectures for education customers, from discovery and evaluation through adoption and measurable institutional impact, with an accent on customer strategy, enterprise integrations, and production readiness. Focus on building agentic applications, coordinating identity, security, privacy, retrieval, and evaluation components, and solving complex adoption challenges across institutional portfolios.

Applied AI Architect Education

Company

OpenAI

Conditions

6 days ago

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own technical strategy for a portfolio of education customers, guiding them from discovery and evaluation through deployment, adoption, and measurable institutional impact. You will create account plans and AI architectures, run workshops and prototypes, coordinate specialists, track adoption and risks, and turn customer insights into product feedback.

Requirements

  • Customer-facing technical experience in solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success
  • Experience guiding complex organizations from evaluation through production adoption and measurable value realization
  • Software and cloud architecture knowledge, including API, distributed system, data integration, identity, security, and privacy
  • Knowledge of modern AI systems, frontier LLM, agentic application, model evaluation, retrieval, or enterprise AI workflow
  • Ability to prototype and work with API, SDK, Python, or JavaScript
  • Experience developing technical account plans and prioritizing complex customer portfolios

Responsibilities

  • Serve as the primary technical advisor for education customers and prospects
  • Own technical account plans, milestones, adoption priorities, and expansion opportunities
  • Lead discovery to identify and prioritize education use cases
  • Design AI architectures spanning models, applications, data, identity, integrations, security, privacy, governance, evaluation, and deployment
  • Guide customers through evaluations, demonstrations, workshops, prototypes, and proofs of value
  • Create actionable adoption roadmaps with milestones, ownership, governance, risks, and success measures
  • Build relationships with institutional technical and academic stakeholders
  • Coordinate delivery, implementation, enablement, security, product, research, and partner specialists
  • Track adoption, account health, production readiness, and customer impact
  • Share reusable education patterns and customer feedback with Product, Engineering, and Research

Benefits

  • Relocation assistance

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