Head of AI development

We are currently looking for a Head of AI Development, where you will play a significant role at the heart of shaping and driving Ignitis group AI strategy, ensuring the seamless integration of advanced technologies to position the company as a truly digital enterprise. As Head of AI Development, you design and implement AI strategy and define strategic priorities, build and manage teams of machine learning and data science specialists, to ensure AI supports long-term business goals. 

Job description:

• Designing and implementing AI strategy that accelerates Ignitis group transformation and positions the company at the center of AI initiatives 
• Aligning AI initiatives with business goals and long-term innovation strategy 
• Identifying areas where AI can create value — improving efficiency, enchancing customer experience, developing new products, etc. 
• Overseeing the design of scalable AI systems, including data pipelines, model deployment, and ML Ops 
• Guiding teams in developing, training, and optimizing machine learning models 
• Staying up to date with AI trends and evaluating new tools, frameworks, and platforms 
• Ensuring compliance with data privacy regulations, ethical AI practices, and the responsible use of AI

• 2+ years proven track of leadership experience and delivery in AI, machine learning or data science  
• Strong understanding of AI technologies, platforms, and responsible AI practices  
• Knowledge of model lifecycle management, CI/CD for ML, containerization (Docker, Kubernetes), and agentic AI  
• Strong people management skills with the ability to motivate and lead teams (including cross-functional project teams), deliver sustainable results and drive change 
• Solid problem - solving and decision-making skills, ability to find a solution in complex issues 
• Proficiency in English 

• A package of additional benefits to choose from: pension accumulation, health insurance, or another benefit from the selectable benefits list in the MELP application
• Additional paid days for health improvement, short-term illness, volunteering, and accumulated work experience
• A hybrid work model (3+2) and flexible working hours
• Internal career opportunities
• Extensive learning and qualification enhancement programs
• Mentorship-based culture designed to facilitate meaningful and value-driven work
• Take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations