Description

You will design and build AI-enabled analytics capabilities on Google BigQuery, including natural-language query agents, forecasting solutions, and AI-powered insights embedded in Microsoft Teams.

This role is remote.

Responsibilities

• Design and implement natural language query agents that translate user questions into optimized BigQuery SQL.
• Build and operationalize Gemini-powered AI workflows for analytics, summarization, and forecasting.
• Develop time-series forecasting models using BigQuery ML and integrate results with Gemini for explainability.
• Implement governance, access control, and auditability for AI-driven data access.
• Integrate AI capabilities into Microsoft Teams and collaborate with data engineering and security teams.

Required Skills

• Strong experience with Google BigQuery and SQL at enterprise scale.
• Hands-on experience with BigQuery ML or similar forecasting/statistical modeling frameworks.
• Experience working with LLMs (Gemini, Vertex AI, or equivalent) in enterprise environments.
• Knowledge of natural language-to-SQL patterns and retrieval-augmented generation (RAG).
• Experience integrating data or AI services into collaboration tools like Teams or Slack.
• Strong understanding of data security, RBAC, and enterprise governance.
• 6+ years of professional experience.

Preferred Skills

• Experience with Vertex AI and model orchestration.
• Familiarity with prompt engineering, AI observability, and usage analytics.

Key Skills

Education

Any Graduate