AI/ML Engineer - Agentic AI & Vertex AI
AI summary of the role
Design and develop agentic AI solutions on Google Cloud, leveraging Vertex AI Agent Builder, ADK, and MCP to automate enterprise workflows.
What you’ll do
- Design and develop intelligent AI agents using Vertex AI Agent Builder to automate complex business processes and workflows.
- Leverage the Agent Development Kit (ADK) to build, orchestrate, and manage multi-agent systems.
- Implement and integrate Model Context Protocol (MCP) Toolbox to connect AI agents with enterprise data platforms such as BigQuery and Cloud Spanner.
- Utilize Vertex AI for model training, fine-tuning, evaluation, and deployment, integrating with BigQuery for feature engineering.
What you’ll bring
- Strong hands-on experience with Vertex AI Model Garden, Pipelines, Endpoints, and Agent Builder.
- Advanced proficiency in SQL (BigQuery) and Python for machine learning and data engineering.
- Practical experience with Google Cloud Platform (GCP), Google Cloud Storage, BigQuery, Cloud Spanner, and Vertex AI Endpoints.
- Understanding of modern agentic AI architectures and multi-agent systems.
Technologies
Vertex AI · Agent Builder · Agent Development Kit (ADK) · Model Context Protocol (MCP) · BigQuery · Cloud Spanner · Dataflow · AlloyDB · Python · SQL
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