Senior Analytics Engineer
Core
Design and develop AI-powered analytics experiences, production AI agents, and scalable semantic data models to enable business users to interact with data conversationally and uncover insights.
Role type
Senior IC analytics engineer (AI/LLM/agentic AI)
Builds
Production AI agents, conversational analytics interfaces, semantic data models, and intelligent automation workflows
Domain
Professional services, enterprise analytics, AI/LLM
Deliverable
production ML models | product features
Required skills
Analytics engineering, business analytics, KPI design, analytical data modelling, metric governance, Python, SQL, LLM application development, agentic AI frameworks, agent orchestration, RAG, prompt engineering, AI evaluation, cloud data platforms integration
Preferred skills
Enterprise analytics copilots, Microsoft Fabric, Azure AI Foundry, Azure OpenAI, Power BI semantic models, Databricks, Snowflake, vector databases, semantic search, Docker, Kubernetes, CI/CD, Responsible AI practices, Model Context Protocol (MCP)
Technologies
Python, SQL, LangGraph, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents SDK, Azure, Azure OpenAI, Power BI, Databricks, Snowflake, vector databases
Responsibilities
Build proactive analytics and AI solutions; design conversational interfaces for natural language data querying; build semantic data models and reusable analytics products; develop and deploy LLM-powered applications and agentic workflows; partner cross-functionally to identify AI automation opportunities; build scalable enterprise analytics solutions; develop data pipelines and backend services; evaluate and implement AI use cases; drive intelligent automation initiatives; optimize AI models and solutions; mentor team members on AI development and Responsible AI; evaluate emerging AI technologies
Seniority
Senior, hands-on IC
