Generative Artificial Intelligence Education Specialist of SustAInLivWork Centre of Excellence (CoE)
The SustAInLivWork Centre of Excellence is seeking a Project Specialist acting as Generative AI Education Specialist to join its AI Research and Education HUB. The selected candidate will contribute to the design and delivery of high-quality AI and Generative AI education, development of practice-oriented curricula, and cross-disciplinary training activities. The role requires a strong practical understanding of GenAI tools, excellent communication and teaching skills, and the ability to translate complex AI concepts into accessible, business-relevant knowledge, while supporting training-related proposals and collaboration with interdisciplinary and industry partners.
Job title: Project Specialist acting as Generative Artificial Intelligence (further – AI) Education Specialist
Location: SustAInLivWork Centre of Excellence (CoE) (Artificial Intelligence Excellence Centre at Kaunas University of Technology, Kaunas, Lithuania). The role requires on-site presence at KTU, with the possibility of partial remote work
Reports to: Project Expert acting as Head of the Tech-Transfer, Impact and Knowledge Valorisation HUB of SustAInLivWork Centre of Excellence (CoE)
Contract type: Project-based contract, full-time employment (40 hours/week)
Remuneration package: 16,32–23,66 EUR per hour, depending on education level, competencies, and professional experience
Gross income (in Lithuanian, BRUTO) is the amount of salary or wages paid to an individual by an employer before any deductions are taken.
Application start date: 13 February 2026
Application end date: 13 March 2026
Start date: As mutually agreed
Main Duties and Responsibilities
- Design, develop, and continuously update GenAI-focused curricula, training programs, and learning materials tailored for business, public sector, and professional audiences
- Deliver engaging lectures, workshops, and hands-on training sessions on Generative AI tools, AI assistants, and applied AI use cases for non-technical and semi-technical learners
- Demonstrate and guide the use of GenAI tools in real-world scenarios, including productivity, decision support, content generation, data analysis, and workflow automation
- Support the development of short courses, executive education modules, and professional certification programs in Generative AI
- Contribute to training-related proposals and commercialization of AI education services
- Act as a mentor and knowledge leader, supporting junior trainers and contributing to the growth of the AI education ecosystem
- Ensure high-quality teaching delivery, learner engagement, and continuous improvement based on participant feedback
- Contribute to dissemination activities and outreach related to GenAI adoption and responsible use
Requirements for the Candidate
Technical Skills:
- Strong knowledge of Generative AI including prompt engineering, retrieval-augmented generation (RAG), AI agents, and foundation models
- Practical experience using and demonstrating GenAI tools and platforms (e.g. ChatGPT-like systems, copilots, AI assistants, no-code/low-code AI tools)
- Understanding of AI system deployment concepts and practical constraints relevant to business environments
- Familiarity with machine learning and deep learning fundamentals, and the ability to explain concepts clearly to audiences with varying technical backgrounds, is an advantage
- Experience with Python for AI prototyping and demonstrations is considered an advantage
Teaching, Communication & Curriculum Development Skills:
- Proven experience in teaching, lecturing, training, or facilitating workshops, preferably for adult learners, professionals, or business audiences
- Ability to design structured curricula, learning outcomes, and practical assignments for GenAI-related courses
- Excellent communication and presentation skills, with the ability to engage diverse audiences and encourage active participation
- Ability to adapt teaching style for executives, managers, technical staff, and non-technical professionals
- Experience delivering hands-on sessions, live demonstrations, and interactive learning formats
Research, Ethics & Responsible AI:
- Understanding of responsible AI, risk management, and limitations of GenAI systems
- Familiarity with EU AI Act principles and responsible deployment of GenAI tools in business and public-sector contexts
- Ability to contribute to training materials, reports, guidelines, and best-practice documentation
General Requirements:
- Hold at least a Master’s degree in information technology, data science, management or a related field; a PhD is considered a strong advantage
- A high level of engagement, initiative, and motivation to teach and inspire others
- Proficiency in Lithuanian (native); proficiency in English (C1 – C2)
Benefits
- Flexible working hours
- Additional motivational incentives in accordance with the University’s applicable remuneration policy
- Access to state-of-the-art AI research infrastructure, tools, and platforms
- Opportunities for continuous professional development, including training, certifications, and international mobility
- Engagement in international projects and networks (Erasmus+, Horizon Europe, others)
- Social guarantees in line with national regulations (annual leave, sick leave, parental leave).
- Opportunities for public visibility, dissemination activities, and thought leadership in Generative AI education
Please submit all the required documents via KTU Career website or by email cv@ktu.lt.
The list of documents that each Applicant must submit:
- Curriculum Vitae (CV) clearly outlining how the applicant meets the position requirements
- Copy of diploma(s) certifying completed higher education
- Copy of PhD diploma (if applicable)
- Any other supporting documents the applicant considers relevant
Equal Opportunity Statement: The Employer does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Contact
For inquiries about the application process:
Recruitment Project Manager
Sandra Stanevičė
E-mail: cv@ktu.lt
