Applied AI Architect, PartnerActive

The opportunity

The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help…

What you'll do

  • Serve as the primary technical advisor and long-term technical relationship: owner for a portfolio of strategic partners, building trusted relationships with their executives, AI leaders, architects, engineering teams, and delivery organizations.

  • Partner closely with the Revenue Partnerships team as one virtual team,: aligning partner strategy, technical priorities, joint customer opportunities, and measures of success.

  • Develop the technical strategy and plan for each partner , identifying: priority solutions, use cases, technical capabilities, enablement needs, delivery risks, and opportunities to drive customer adoption.

  • Assess prospective and existing partners’ technical capabilities and delivery: readiness, identifying strengths, gaps, and the investments required to successfully deliver OpenAI-powered solutions.

  • Lead technical discovery with partners and joint customers to identify,: qualify, and prioritize AI use cases tied to meaningful business outcomes.

  • Develop clear Applied AI architectures spanning models, applications,: enterprise data, integrations, identity, security, privacy, governance, evaluation, reliability, and deployment.

What they're looking for

  • Collaborate with partner sales and technical teams on strategic: opportunities, providing technical guidance through discovery, demonstrations, workshops, prototypes, architectural recommendations, and proofs of value.
  • Guide partners through their initial and most strategic OpenAI deployments,: helping them navigate technical tradeoffs and production dependencies while ensuring solutions meet a high bar for quality, security, reliability, and responsible deployment.
  • Build partner capability and technical self-sufficiency through tailored: enablement, architectural guidance, reusable solution patterns, technical workshops, and mentorship.
  • Establish clear standards and mechanisms for partner-delivered solution: quality , identifying risks early and intervening when architecture, implementation, security, evaluation, or adoption issues threaten customer outcomes.