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Technical AI Learning Architect

Skills
APIApplication ArchitectureCross-Functional CollaborationsFacilitationProduct DevelopmentProduction ReadinessReadiness
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Deep practical experience building or supporting AI-enabled products or platforms
  • Experience with APIs Codex or AI developer tooling
  • Strong understanding of modern AI application architecture and developer workflows
  • Hands-on familiarity with APIs agents evals RAG vector stores and production AI systems
  • Ability to explain complex technical concepts clearly to mixed audiences
  • Experience reviewing or shaping technical learning enablement or developer education content
  • Strong judgment on what is technically credible versus performative or overhyped

Nice to have

  • Practical and credible
  • Clear thinker
  • Collaborative expert
  • Calm in ambiguity

Day to day

  • Shape and validate technical learning experiences across the AI builder pathway, including APIs agents RAG evals and production optimisation
  • Translate complex AI engineering concepts into clear practical learning moments that reflect real production AI systems
  • Review labs repositories demos walkthroughs and AI-generated content for technical accuracy usefulness and credibility
  • Support instructional designers facilitators and technical stakeholders to build coherent hands-on learning journeys and live bootcamp delivery