OpenAI

Applied AI Architect Large Enterprise

In short

This role owns technical strategy for a portfolio of large enterprise customers at OpenAI, guiding them from discovery and evaluation through deployment and measurable business impact. It requires customer-facing solutions architecture or technical account experience, software and cloud architecture knowledge (API, distributed systems, data integration, security, privacy), and familiarity with modern AI systems and LLMs, plus the ability to prototype with API, SDK, Python, or JavaScript. The job coordinates specialist teams, tracks production adoption, and feeds field learnings back to Product, Engineering, and Research.

About the Role
You will own technical strategy for a portfolio of large enterprise customers, guiding them from discovery and evaluation through deployment, adoption, and measurable business impact. You will develop AI architectures and adoption roadmaps, lead customer evaluations, coordinate specialists, track technical outcomes, and turn field learnings into reusable practices and product feedback.
Requirements
•Customer-facing technical experience in solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success
•Experience guiding enterprise organizations from evaluation through production adoption and measurable business impact
•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
•Relevant industry expertise or digital-native business fluency
Responsibilities
•Serve as the primary technical advisor for customers and prospects
•Own technical account plans, milestones, adoption priorities, and expansion opportunities
•Lead discovery to identify, qualify, and prioritize business use cases
•Develop AI architectures spanning models, applications, data, integrations, security, privacy, governance, evaluation, and deployment
•Guide customers through evaluations, demonstrations, workshops, prototypes, and proofs of value
•Maintain use-case portfolios with ownership, blockers, success measures, delivery needs, and adoption plans
•Coordinate delivery, implementation, enablement, product, domain, and partner specialists
•Track adoption, account health, production readiness, and customer impact
•Share customer insights with Product, Engineering, and Research
Benefits
•Relocation assistance

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