Senior Analytics Engineer
Core
Design and develop AI-powered analytics experiences and production AI agents that combine enterprise data with LLMs to enable conversational data querying and intelligent decision-making.
Role type
Senior IC Analytics Engineer (AI/LLM focus)
Builds
Production AI agents, scalable semantic data models, intelligent analytics applications, and agentic workflows.
Domain
Professional services, Enterprise Analytics, Generative AI
Deliverable
production ML models | product features
Required skills
Analytics engineering, Business intelligence, Analytical data modelling, Metric governance, Python, SQL, LLM application development, Agentic AI frameworks, Agent orchestration, RAG, Prompt engineering, AI evaluation, Cloud data platforms integration, API development, Data pipeline development.
Preferred skills
Conversational analytics platforms, Microsoft Fabric, Azure AI Foundry, Azure OpenAI, Power BI semantic models, Databricks, Snowflake, Vector databases, Semantic search, Docker, Kubernetes, CI/CD, Model Context Protocol (MCP).
Responsibilities
Build proactive analytics and AI solutions that surface actionable business insights. Design and develop AI-powered analytics tools including conversational interfaces. Build semantic data models and reusable analytics products. Design, develop, and deploy LLM-powered applications and agentic workflows. Partner cross-functionally to identify opportunities for AI agents and intelligent automation. Develop robust data pipelines, APIs, and backend services. Identify and implement AI use cases delivering measurable business value. Drive intelligent automation initiatives. Evaluate and optimize AI models, prompts, and solutions. Mentor team members on AI application development and Responsible AI practices.
Seniority
Senior, hands-on IC
