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OpenAI's AI Architect team partners with organizations to deploy the company's most capable AI models into real-world impact. As an Applied AI Architect, you will serve as the senior technical owner and primary technical counterpart for a named portfolio of enterprise customers, acting as the "CTO of your book of business."
You will own the technical account strategy across ChatGPT Enterprise, the OpenAI API, Codex, and agentic AI solutions. Working in partnership with Account Directors, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to measurable customer value and growth. While Account Directors own commercial strategy, you own the technical strategy, customer journey, and path to production value.
Key responsibilities include:
- Serve as the primary technical advisor and long-term relationship owner for a named portfolio of existing customers and pre-sales prospects
- Partner with Account Directors on account strategy while owning technical account plans, 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
- Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, and adoption plans
- Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, and engineering teams
- Qualify and coordinate support from Deployment Engineering, implementation, training, product specialists, and partners
- Remain accountable for technical progress and customer outcomes while ensuring delivery teams own execution
- Track adoption, usage, account health, production readiness, and measurable customer impact
- Apply industry expertise to recognize repeatable patterns and identify expansion opportunities
- Share customer insights with Product, Engineering, and Research teams
You will remain accountable for technical outcomes while bringing in specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations.
The role is based in Sydney, Australia with a hybrid work model of 3 days in the office per week. Relocation assistance is offered to new employees.
QUALIFICATIONS:
- Significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success
- Proven track record guiding enterprise organizations from technical evaluation through production adoption and measurable business impact
- Ability to build credibility with senior technical and business leaders while communicating effectively 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, and enterprise AI workflows
- Ability to prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript
- Sound judgment about when to go deep personally versus when to involve specialists, with ability to define clear handoffs and ownership
- Experience developing technical account plans, prioritizing 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 with ability to turn ambiguity into practical technical narratives, executive decisions, or action plans
- Collaborative approach across disciplines with commitment to helping organizations deploy advanced AI responsibly
