AI Engineer

To be a part of Virtuos means to be a creator. 

At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. 

Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication.

At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together.

Responsibilities

ABOUT THE POSITION

• Design, build, and deploy AI agents for operational workflows.
• Integrate agents with enterprise systems (ERP, HRIS, SharePoint, Dynamics 365, Salesforce) via APIs, Power Automate, or Graph connectors.
• Implement agent telemetry and observability pipelines using Microsoft Fabric or Power BI.
• Apply RAG (Retrieval-Augmented Generation), context injection, and prompt-chaining for knowledge-aware automation if needed.
• Maintain security, versioning, and audit trails for all agent deployments.
• Perform exploratory data analysis (EDA) on Finance, HR, or current datasets to identify automation opportunities and trends.
• Develop predictive ML models (e.g. anomaly detection, risk scoring).
• Deploy ML models into Power BI or agents through Fabric ML endpoints, or Python scripts.
• Collaborate with BI team to transform model output into decision-ready dashboards and alerts.
• Continuously measure ROI and performance through agent telemetry and statistical evaluation.
• Partner with the AI BA to translate business logic into model features and automation workflows.
• Work with BI teams to ensure data readiness, integrity, and lineage.
• Document models, pipelines, and prompts for auditability and reproducibility.

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 4–8 years’ experience in data engineering, machine learning, or automation.
• Strong proficiency in Python, SQL, and Power Platform (Power Automate, Copilot Studio, Power Apps).
• Hands-on experience with EDA, regression/classification models, clustering, anomaly detection, and time-series forecasting.
• Familiarity with Azure AI / Azure Machine Learning / Fabric ML environment.
• Understanding of RAG pipelines, prompt-engineering, and LLM integration a plus.
• Experience working with structured (ERP, Finance, HR) and semi-structured data (documents, logs).
• Strong communication skills — can explain technical solutions to non-technical stakeholders.
• Bonus: Exposure to Finance or Shared-Service operations preferred.