Applied AI Architect, Large Enterprise

The Applied AI Architect team at OpenAI partners with organisations to turn OpenAI's most capable models into meaningful, real-world impact. As an Applied AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams.

You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact.

Responsibilities:

• 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 prioritise 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 realisation.
• Apply industry or digital-native expertise to recognise 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.

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 enterprise organisations from technical evaluation through production adoption and measurable business impact.
• Ability to build credibility with senior technical and business leaders while communicating equally well with hands-on engineers.
• Strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
• Understanding of modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
• Ability to prototype, explain technical trade-offs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript.
• Sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership.
• Experience developing technical account plans, prioritising complex customer portfolios, and connecting adoption to measurable outcomes.
• Meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses.
• Clear communication skills and ability to turn ambiguity into a practical technical narrative, executive decision, or action plan.
• Collaborative mindset and care about helping organisations deploy advanced AI responsibly.