Applied AI Architect, Edu

About the Team OpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast growing digital natives to the largest global enterprises, government agencies and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission. About the Role The Success Engineer role is the primary post-sales point of contact for a portfolio of education institutions. You are responsible for driving account health and adoption, ensuring technical readiness, identifying high-impact academic and administrative use cases, and delivering measurable value to our education customers using OpenAI’s platform. This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide institutions toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact. This role is based in Singapore. In this role, you will: Lead the post-sale technical relationship as a trusted advisor for EDU customers, advising on deployment, configuration, identity, security, governance, troubleshooting, optimization, and responsible adoption. Identify and implement tech interventions and agentic solutions to drive adoption of OAI product capabilities within the portfolio of assigned EDU accounts. Own account health and technical success across an EDU portfolio, including adoption velocity, stakeholder engagement, risks, and value realization. Deliver technical configuration and enablement across ChatGPT Edu (Codex & Work), API, connectors, Agents, and other OpenAI capabilities. Identify and validate EDU specific value drivers through workshops on use case design, responsible adoption, faculty/staff enablement, champion building, and internal communication. Translate institutional objectives into an actionable adoption roadmap, defining prioritized workstreams, sequencing, milestones, governance, risks, KPIs, and clear stakeholder ownership across launch, rollout, enablement, change management, and new product activation. Drive and demonstrate value realization by establishing baselines and success metrics, analyzing adoption and usage, coordinating progress across stakeholders, and communicating outcomes through quantitative reporting and qualitative impact stories. Build strong relationships with executive sponsors, IT/security leaders, academic stakeholders, faculty champions, researchers, and operational teams to understand EDU specific workflows. Help identify expansion opportunities where OpenAI can power new academic, research, administrative, or operational workflows. Partner cross-functionally with Sales, Solutions Architecture, Product, Engineering, Research, Education Programs, and Support to resolve blockers and surface customer feedback, field patterns, and EDU-specific signals. You’ll thrive in this role if you: 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, education technology implementation, or enterprise SaaS adoption. Hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, common integration patterns, and the ability to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval, fine-tuning, or custom model usage. Ability to translate technical concepts into clear institutional value for leaders who may care about student success, research productivity, administrative efficiency, faculty enablement, risk, and governance. Comfort embedding with customers to map workflows, identify requirements, diagnose adoption challenges, and build credible rollout plans. Excellent project and program management instincts across multi-stakeholder, consensus-heavy environments. Ability to be a thought partner for C-level and academic leaders while also diving deep with technical teams. High ownership in dynamic customer environments with fast decision making, context switching, and ambiguous stakeholder needs. A strong record of driving technical deployments and owning meaningful adoption and value outcomes in complex organizations. About OpenAI OpenAI