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Technical AI Learning Architect
Skills
APIApplication ArchitectureCross-Functional CollaborationsFacilitationProduct DevelopmentProduction ReadinessReadiness
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
