Negotiable
Outside
Hybrid
London Area, United Kingdom
Summary: A client in the consulting and professional services industry is looking for a Technical AI Learning Architect for a short-term contract. The role involves collaborating with instructional designers and developers to create a technically accurate AI Builder curriculum. The architect will ensure hands-on learning experiences are aligned with real-world product development and validate technical content for accuracy. The position offers a hybrid working arrangement with a fully remote option available.
Key Responsibilities:
- Review labs, demos, repositories, and workshop materials to ensure technical quality and relevance
- Support the design of practical exercises, implementation scenarios, and hands-on learning journeys
- Validate code examples, lab instructions, and technical content for accuracy and best practice
- Collaborate with cross-functional teams to deliver cohesive bootcamps and learning experiences
Key Skills:
- Proven experience building AI-enabled products or platforms in a production environment
- Strong hands-on expertise with APIs, agentic systems, RAG pipelines, evals, and AI architecture
- Experience with OpenAI APIs or similar tooling, including developer workflows
- Ability to translate complex technical concepts into clear, practical learning experiences
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Consulting
The Role
A client in the consulting and professional services industry is seeking a Technical AI Learning Architect to join their team for an short-term initial contract. You will work closely with instructional designers, developers, and facilitators to ensure an AI Builder curriculum is technically accurate, practical, and aligned to real-world product development. You will report into the programme lead and help shape hands-on learning experiences that enable technical builders to create production-grade AI solutions.
Responsibilities
- Review labs, demos, repositories, and workshop materials to ensure technical quality and relevance
- Support the design of practical exercises, implementation scenarios, and hands-on learning journeys
- Validate code examples, lab instructions, and technical content for accuracy and best practice
- Collaborate with cross-functional teams to deliver cohesive bootcamps and learning experiences
Requirements
- Proven experience building AI-enabled products or platforms in a production environment
- Strong hands-on expertise with APIs, agentic systems, RAG pipelines, evals, and AI architecture
- Experience with OpenAI APIs or similar tooling, including developer workflows
- Ability to translate complex technical concepts into clear, practical learning experiences
Details
- Start date: June 2026
- Duration: 3–6 months
- Day rate: Outside IR35
- Competitive
- Location: London/ Hybrid however fully remote option available