AI/ML Engineer (Google BigQuery)

Role Overview

XTIVIA is seeking a Google BigQuery AI/ML Engineer to design and build AI-enabled analytics capabilities on top of Google BigQuery. The work focuses on natural-language query agents, forecasting, and AI-powered insights that are securely embedded into Microsoft Teams.

Responsibilities

• Design and implement natural-language query agents that convert 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 AI governance, including access control and auditability for AI-driven data access.
• Integrate AI capabilities into Microsoft Teams to support user adoption.
• Collaborate with data engineering, security, and business teams for scalable and secure solutions.
• Optimize BigQuery query performance, cost controls, and data reliability.

Requirements

• Strong enterprise experience with Google BigQuery and SQL.
• Hands-on experience with BigQuery ML (or similar forecasting/statistical modeling frameworks).
• Enterprise experience working with LLMs such as Gemini and/or Vertex AI.
• Knowledge of natural language to SQL patterns and RAG (Retrieval-Augmented Generation).
• Experience integrating data/AI services into collaboration tools (Microsoft Teams, Slack, or similar).
• Strong understanding of data security, RBAC, and enterprise governance.

Nice to Have

• Experience with Vertex AI and model orchestration.
• Background in retail, supply chain, or enterprise analytics.
• Familiarity with prompt engineering, AI observability, and usage analytics.
• Experience building internal productivity tools or analytics platforms.

Contract / Location

• Remote work.
• Duration: 3 months (initial contract/SOW) with potential extension.
• Company location reference: Edison, NJ.

Compensation

• Expected pay range: $90–$110 per hour (based on skills and experience).