Senior GenAI Workshop Leader

About the team

The Centers Operations division is responsible for the day-to-day delivery of the TUMO learning experience across all Armenia centers. The team ensures that students move smoothly through TUMO’s learning model - combining self-learning, workshops, and project labs - while maintaining a structured, supportive, and engaging environment.

About the position

The Senior GenAI Workshop Leader designs and delivers GenAI workshops and learning labs for students, while training and mentoring other workshop leaders. The role involves tracking and reporting on student learning progress, staying at the forefront of developments in the field, and helping shape the curriculum. It also carries ownership of the quality and continuous improvement of GenAI learning across TUMO centers.

Responsibilities

• Lead permanent GenAI workshops and learning labs for students, evaluate and report on their progress and project outcomes

• Train local and international workshop leaders through seminars, workshops and individual sessions, and support them with ongoing feedback and mentorship

• Monitor workshop quality and workshop leader performance, and propose improvements and additional training where needed

• Test new curriculum designs, and work with the content team to update the curriculum and create new activities, modules, lectures and videos

• Lead workshops, labs or training sessions at other TUMO centers during 2-4 trips a year

• Take part in recruiting workshop leaders, from reviewing resumes and portfolios to interviewing candidates and giving recommendations aligned with TUMO’s goals and values.

Requirements

• Advanced hands-on expertise in generative AI, including tools such as ChatGPT (Codex), Claude (Claude Code) and Gemini, and strong prompting skills

• Practical understanding of LLMs, agents, AI instructions and rules, tokenization and context

• Experience using AI tools, agents and APIs to build applications, test projects and gather feedback from real users

• Experience in an engineering field, such as hardware or software engineering

• Strong research skills and a habit of keeping up with new developments in AI

• Excellent communication and public speaking skills, with the ability to explain complex topics clearly

• Ability to work independently and to collaborate closely within and across teams

• Strong planning skills, with the ability to meet deadlines and maintain high productivity

• Willingness to travel 2–4 times a year

• Languages: Armenian (required), English (required), Russian (preferred)

• Experience mentoring or leading other educators is preferred

• Experience teaching or working with teenagers is a strong plus

• A deeper understanding of AI/ML concepts such as embeddings, fine-tuning and retrieval-augmented generation (RAG) is a plus.

Benefits

• Health Insurance and discount on travelers insurance

• Assistance with work permit and opening a bank account if needed

• Extra New Year paid holidays: 3rd, 4th and 5th of January

• 5 days of Personal Leave

• Birthday Leave.