Applied AI Architect, Partner
OpenAI· Go To Market
Hybrid (Tokyo, Japan)Full-timePosted 1mo ago
About the role
Senior technical advisor to strategic partner portfolio, shaping how partners build OpenAI-based practices, develop solutions, and drive production adoption from discovery to measurable business impact.
Responsibilities
- Serve as the primary technical advisor and long-term technical relationship owner for a portfolio of strategic partners, building trusted relationships with executives and delivery teams.
- Partner with Revenue Partnerships to align partner strategy, technical priorities, joint opportunities, and success measures.
- Develop the technical strategy and plan for each partner, identifying priority use cases, capabilities, enablement needs, risks, and adoption opportunities.
- Assess partners’ technical capabilities and delivery readiness, identifying strengths, gaps, and required investments.
- Lead technical discovery with partners and joint customers to identify and prioritize AI use cases with meaningful business outcomes.
- Develop applied AI architectures spanning models, data, integrations, security, governance, evaluation, and deployment.
- Collaborate with partner sales and technical teams on opportunities, providing guidance through discovery, workshops, prototypes, and proofs of value.
- Guide partners through OpenAI deployments, ensuring quality, security, reliability, and responsible deployment.
- Build partner capability and technical self-sufficiency through enablement, patterns, workshops, and mentorship.
- Establish standards for partner-delivered solution quality and intervene when risks threaten outcomes.
- Coordinate OpenAI specialists across multiple teams to support partner delivery while maintaining clear ownership and handoffs.
- Track partner capability, pipeline progress, production adoption, usage, and impact to identify needed interventions.
- Identify repeatable patterns and turn them into architectures, playbooks, and reusable solutions for scale across partners and customers.
- Provide insights from partners back to Product, Engineering, Research, and Partnerships to shape strategy and guidance.
Qualifications
- Significant experience in senior customer- or partner-facing technical roles (solutions architecture, partner engineering, field architecture, technical account leadership, AI deployment, or technical consulting).
- Experience with global or regional system integrators or technology partners, understanding their sales, architecture, and delivery of enterprise tech.
- Proven track record guiding complex enterprises from discovery through production deployment and measurable business impact.
- Ability to build credibility with CTOs/CIOs/CISOs, partner executives, and AI leaders; effective with architects and hands-on engineers.
- Strong software and cloud architecture foundations (APIs, distributed systems, enterprise data, integrations, identity, security, privacy, governance).
- Understanding of modern AI systems, frontier LLMs, agentic applications, evaluation, retrieval, and enterprise AI workflows.
- Ability to prototype, explain tradeoffs, and work with APIs/SDKs/languages such as Python or JavaScript.
- Experience enabling technical organizations at scale with repeatable architectures, training, patterns, and practices.
- Knowledge of enterprise security and compliance to guide production deployment.
- Judicious, cross-functional partnership balancing OpenAI, partner, and customer needs.
- Ability to coach others while knowing when to engage specialists and to prioritize across a portfolio.
Skills
Required:Technical advisory and partner relationship ownershipTechnical strategy and architecture for partner engagementsPartner capability development and enablementProduction deployment and governanceStakeholder communication across C-suite and engineers
Last updated Sep 17, 2026. Interested? Apply on the company site.
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