AI Analytics Engineer (AI & Analytics Platform)

Tech Stack

Responsibilities

• Build and maintain context infrastructure by translating business knowledge into structured formats for AI tools (glossaries, DBT model enrichment, semantic layer definitions).
• Design and run evaluation frameworks with predefined test cases, accuracy benchmarks, and validation workflows to measure the trustworthiness of AI-generated insights.
• Build and orchestrate AI agent systems, including prompt pipelines, tool orchestration, query routing logic, and guardrails for autonomous AI responses versus human validation.
• Experiment and evaluate prompt configurations, agent behaviors, and model outputs across various use cases, using accuracy metrics to drive continuous improvement.
• Drive cross-functional adoption by partnering with GTM, Product, Finance, and other teams to onboard users, triage issues, and train stakeholders on AI-powered analytics tools.

Soft Skills

Benefits

• Equity

Culture

Requirements