Applied AI Architect Large Enterprise
AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.
Maintainer signals as of 9/25/2026
Projects
About OpenAI
OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity. It consists of the nonprofit OpenAI Foundation and OpenAI Group, a public benefit corporation governed by the Foundation.
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 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