Jobs 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.

Supports mergers and acquisitions and greenfield investment transactions in the renewable energy sector. Responsibilities include financial modeling, investment analysis, cash-flow forecasting, valuation, project-finance and PPA support, transaction documentation, stakeholder presentations, internal approvals, advisor management, and renewable-energy market monitoring.

Build and operate scalable data pipelines using Python, Airflow, and Microsoft Fabric; integrate data from on-premises, cloud, and API sources; design lakehouse and warehouse architectures; manage data models, transformations, quality, observability, security, and compliance; lead technical solutions from requirements through production; implement governance and cataloging frameworks; and mentor junior data engineers.

Designs, builds, deploys, and optimizes GenAI agents and AI/ML automation solutions for customer and employee experiences. Develops data pipelines, fine-tunes and monitors LLMs, prototypes MVPs, integrates AI tools, and leads pilot projects through production deployment. The role requires Python, GenAI, RAG, prompting, model development, and experience delivering AI solutions in business environments.

Administer, optimize, secure, and maintain enterprise Oracle and Microsoft SQL Server databases. Manage performance tuning, backups, recovery, high availability, clustering, disaster recovery, and database security. Support infrastructure projects and integrations, troubleshoot critical incidents, coordinate with vendors, and provide technical guidance and mentoring to improve database reliability and scalability.

Analyze renewable energy asset performance using Python and SQL, identify trends and anomalies, build Power BI dashboards, and provide statistical insights for operational decision-making. Maintain reliable data workflows, document analytical processes, and collaborate with asset supervisors and international stakeholders to optimize long-term asset performance.

Analyze renewable energy asset performance using Python and SQL, identifying trends, anomalies, and optimization opportunities. Build and maintain reliable data workflows, statistical analyses, dashboards, and reports, primarily with Power BI and SQL databases. Present insights to stakeholders, support operational decision-making, contribute to analytical roadmaps, and document workflows, datasets, coding standards, and dashboards.