Role OverviewThis is a hybrid role based across multiple locations, developing intelligent agents using Vertex AI Agent Builder to automate complex business workflows. The role involves building and managing multi-agent systems that solve end-to-end business challenges, and integrating Vertex AI with BigQuery for feature engineering. The team offers extensive career opportunities and provides mentoring and coaching for teammates.
What You Will Do
Develop intelligent agents using Vertex AI Agent Builder, build and manage multi-agent systems, implement tools such as the Model Context Protocol (MCP) Toolbox, and execute real-time inference through the RunInference API or Vertex AI endpoints.
Why It Might Be a Fit
The role requires a senior candidate with 10 plus years of related skills, proven experience with Model Garden, Vertex AI Pipelines, and model evaluation, and advanced SQL skills for BigQuery, Python expertise for ML engineering, and experience with data preprocessing techniques such as scaling, encoding, and imputation.
Requirements
- 10 plus years of related skills
- Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation
- Advanced SQL skills for BigQuery
- Python expertise for ML engineering
- Experience with data preprocessing techniques such as scaling, encoding, and imputation
- Hands-on experience with Google Cloud Storage and Vertex AI endpoints
- Familiarity with stateful real-time processing and current innovations in agentic architectures
Benefits
- Paid time off based on employee grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans
- Life and disability insurance
- Employee assistance programs
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