# Applied AI Architect, Education

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** London, United Kingdom
**Role:** Solutions Architecture
**Skills:** Ai Architecture, Solutions Architecture, Cloud Architecture, APIs, Distributed Systems, Data Integration, Identity, Security, Privacy, LLMs, Agentic AI, Model Evaluation, Retrieval, Python, JavaScript
**Posted:** 2026-09-02

> Own the technical strategy and adoption journey for education customers, translating institutional priorities into secure AI architectures, use-case portfolios, and production roadmaps. The role requires customer-facing architecture experience, strong cloud and software foundations, and fluency in modern AI systems.

## Job Description

## Responsibilities
- Serve as the primary technical advisor and long-term technical relationship owner for a portfolio of education customers and prospects.
- Partner with Account Directors on account strategy while owning technical account plans, milestones, adoption priorities, value realization, and expansion opportunities.
- Lead discovery with executives, academic leaders, researchers, faculty, administrators, and technical teams to identify and prioritize institutional AI use cases.
- Design applied AI architectures spanning models, applications, institutional data, identity, integrations, security, privacy, governance, evaluation, and deployment.
- Lead technical evaluations, demonstrations, workshops, prototypes, and proofs of value.
- Create adoption roadmaps with workstreams, sequencing, milestones, stakeholder ownership, governance, risks, success measures, and change-management requirements.
- Develop use-case portfolios 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, and administrators.
- Coordinate support from deployment engineering, implementation, training, enablement, product, research, education specialists, partners, and delivery teams.
- Track adoption, usage, account health, production readiness, and measurable customer impact; intervene when risks threaten value realization.
- Identify repeatable education patterns and reusable architectures for responsible adoption.
- Translate field insights into feedback for Product, Engineering, and Research.
- Identify expansion opportunities across academic, research, administrative, and operational workflows.

## 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 complex organizations from technical evaluation through production adoption and measurable value realization.
- Strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
- Understanding of modern AI systems, frontier large language models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
- Ability to prototype and communicate technical tradeoffs using APIs, SDKs, and languages such as Python or JavaScript.
- Experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
- Ability to translate technical capabilities into institutional value across student success, research productivity, faculty enablement, administrative effectiveness, accessibility, risk, and governance.
- Strong executive, technical, and cross-functional communication skills.
- Ability to deploy advanced AI safely and responsibly in complex, mission-driven environments.

## Nice-to-haves
- Meaningful experience with education technology, higher education, K–12 systems, research institutions, or similarly consensus-oriented environments.
- Experience with education-sector governance, accessibility, data privacy, change management, or responsible AI adoption.

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