Teams at Ignitis Group

Design, develop, deploy, and scale secure generative AI solutions, enterprise agents, intelligent automation, RAG systems, MCP integrations, and internal AI platforms. Build prototypes and MVPs, evolve successful solutions into production, and connect language models with enterprise data, APIs, tools, and business systems. Collaborate with business, IT, architecture, cybersecurity, privacy, and data teams to translate operational needs into reliable AI solutions.

Coordinate AI adoption across Ignitis Group by leading the Microsoft 365 Copilot rollout, developing adoption strategies, delivering training and engagement initiatives, creating guidance and use cases, measuring usage and business value, and supporting AI champion communities. The role works with HR, IT, communications, cybersecurity, privacy, and business teams to promote responsible, practical, and measurable use of AI tools.

Develop forecasting and machine-learning solutions for renewable energy, asset performance, anomaly detection, optimization, and commercial decision-making. Responsibilities include preparing diverse time-series and geospatial datasets, conducting exploratory analysis, building and validating predictive models, creating prototypes, and productionizing reliable analytical solutions. The role collaborates with energy, engineering, data, IT, commercial, and AI teams while communicating findings to technical and business stakeholders.