Applied AI Engineer – Data & Analytics

We are seeking an AI Engineer to bring AI capabilities into our data, reporting, and analytics environment. You will design, build, and deploy AI solutions — LLM-based assistants, autonomous agents, and AI orchestration workflows — that operate on enterprise data and enhance how the organization consumes insights. A flagship example: enriching existing Power BI reports with AI-generated analysis, narratives, and insights. The role is approximately 70% AI engineering and 30% Power BI development. You will work closely with the lead of our data warehouse and reporting platform, contributing to the evolution of selected Power BI reports and semantic models while building the AI layer that enhances how users consume insights. Required Qualifications • Hands-on experience delivering production LLM-based solutions: agents, assistants, RAG pipelines, or AI workflow automation. • Proven Power BI development experience, including semantic modeling, DAX, and Power Query. • Strong Python and SQL skills. • Ability to work autonomously, prioritize across a mixed AI/BI backlog, and communicate clearly with non-technical stakeholders. Nice to Have • Experience embedding AI capabilities into BI tools (e.g., AI-generated narratives or insights in dashboards). • Familiarity with agentic AI patterns such as tool/function calling, memory and context management, orchestration workflows, and MCP-based integrations. • Familiarity with the Microsoft data platform: Fabric, Synapse, Purview. • Familiarity with enterprise platforms such as ServiceNow, Salesforce, or Dynamics 365, and system integration patterns. • Experience with AI evaluation, monitoring, and responsible-AI practices.