Role Overview
We are seeking a highly skilled Artificial Intelligence Engineer. You will design and deploy sophisticated AI agents, grounding them in unique business data to ensure trust and operational efficiency.
Core Responsibilities
Agentic Design & Implementation
● Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
● Leverage the Agent Developer Kit ADK to build and manage multi-agent systems that collaborate to solve end-to-end business challenges.
● Implement tools like MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases like BigQuery and Spanner.
AI on Data Strategy
● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless integration with BigQuery for feature engineering.
● Build and optimize streaming data pipelines (e.g., via Dataflow) to execute real-time inference using the RunInference API or Vertex AI endpoints.
● Ground AI models in live business context using vector engines within BigQuery or AlloyDB to eliminate "AI amnesia ".
Technical Qualifications
● Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation.
● Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML engineering, and data preprocessing techniques (scaling, encoding, imputation).
● Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
● Emerging Tech: Familiarity with stateful real-time processing and the latest innovations in agentic architectures.
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