Data & AI Solutions Engineer

Quick Facts

• Role: Data & AI Solutions Engineer

Description

You will develop AI-powered applications and conversational experiences using enterprise data, including building AI agents and copilots for analytics use cases. The role involves connecting LLMs to structured enterprise data, semantic models, APIs, and existing systems, then prototyping solutions in Python, SQL, and APIs and supporting transition to production. You will also implement GenAI approaches such as RAG, grounding, tool/function calling, and agent orchestration, and evaluate response quality, reliability, security, and accuracy.

Responsibilities

• Develop AI-powered applications and conversational experiences on top of enterprise data

• Build and prototype AI agents and copilots for business, commercial, and operational analytics

• Connect LLMs with structured enterprise data, semantic models, APIs, and existing systems

• Prototype solutions using Python, SQL, and APIs; support moving successful concepts into production

• Work with Microsoft AI ecosystem technologies (Azure AI, Microsoft Foundry, Copilot Studio, Microsoft Fabric)

• Apply RAG, grounding, tool/function calling, and agent orchestration where relevant

• Evaluate quality, reliability, security, and accuracy of AI-generated responses

• Collaborate with Data Engineers and BI/Analytics Engineers to use governed data products and semantic models

• Explore conversational analytics and AI-generated analytical experiences beyond traditional dashboards

• Stay current on emerging GenAI technologies and identify real business use cases

Requirements

• Professional experience in Data Engineering, Software Engineering, Cloud Engineering, or similar

• Strong Python programming and software engineering fundamentals

• Strong SQL skills and experience with enterprise data systems, APIs, and integrations

• Experience with Azure and/or Microsoft Fabric

• Practical, hands-on experience with Generative AI and LLMs

• Understanding of data architecture, structured data, and semantic models

• Experience with Git and DevOps/scalable software development practices

• Ability to design and prototype AI-powered solutions and translate business needs into technical approaches

• Curiosity about emerging AI technologies and willingness to grow in GenAI

• Good English command

• Work from the European Union region with a valid work permit

Nice to have

• Experience with Azure AI, Microsoft Foundry, Copilot Studio, or Fabric AI capabilities

• Hands-on experience building AI agents, copilots, or conversational analytics solutions

• Knowledge of RAG, grounding, tool/function calling, agent orchestration, or Model Context Protocol (MCP)

• Experience with Power BI semantic models or Databricks

• Experience with AI-generated analytics, visualizations, or natural-language interfaces for data

Recruitment Process

CV review – HR call – Interview – Client Interview – Decision