Google Cloud AI Engineer
Google Cloud AI Engineer
Location – Remote
Location – Remote
Visa: Independent
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.
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 ".
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.
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.