Applied AI Architect
OpenAI · Posted Sep 27
Artificial intelligence research, generative models, and advanced machine learning deployment
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About the role
The AI Architect team partners with organizations across industries to turn OpenAI's most capable models into meaningful, real-world impact, designing secure and scalable solutions that move from early exploration into sustained production adoption. This role is the senior technical owner for a named portfolio of customers, shaping their AI strategy across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. Working alongside Account Directors and specialist delivery teams, the architect drives pre-sales discovery, solution evaluation, deployment, adoption, and measurable business impact.
What you will do
- Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects.
- Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities.
- Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes.
- Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment.
- Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production.
- Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans.
- Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders.
- Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams.
- Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged.
- Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization.
- Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities.
- Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices.
Skills used in this role
What the employer is looking for
- Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
- Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact.
- Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers.
- Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
- Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
- Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript.
- Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership.
- Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
- Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses.
- Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan.
- Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly.
Benefits and support
- Relocation assistance for new employees
About OpenAI
OpenAI is an AI research and deployment organization dedicated to developing safe and beneficial general-purpose artificial intelligence. The company creates breakthrough generative AI models like ChatGPT and the GPT series, aiming to ensure artificial intelligence broadly benefits all of humanity.
- Industry
- Artificial Intelligence
- Company size
- 5001-10000 employees
- Founded
- December 8, 2015
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $190B raised
- 2026-03-31Series F$122B
- 2025-03-31Series F$40B
- 2024-10-02Series E$6.6B
- 2023-01-23Corporate Round$10B
- 2019-07-22Corporate Round$1B
Leadership
Chief Executive Officer and Co-Founder
President and Co-Founder
Chief Financial Officer
Chief Scientist
Chief Strategy Officer
Recent coverage
TechCrunch
OpenAI to test visual ads in ChatGPT image generation2026-10-05
The New York Times
OpenAI adds immediate intervention options after model agent incidents2026-10-06
Computing
OpenAI introduces text watermarking features to comply with EU AI Act2026-10-06
OpenAI Blog
OpenAI announces GPT-6 Sol and major developer updates at DevDay 20262026-09-29