Agentic AI Engineer Capgemini Sogeti
Overview
Own intelligent AI agent development using Vertex AI Agent Builder and ADK. Design and scale multi-agent systems for end-to-end problem solving. Integrate AI agents with BigQuery and Cloud Spanner via MCP Toolbox. Build real-time batch pipelines with Dataflow and Vertex AI Endpoints. Implement RAG and vector search using BigQuery Vector Search or AlloyDB.
What You'll Do6
- 1Build intelligent AI agents using Vertex AI Agent Builder and ADK to automate business processes
- 2Develop and manage multi-agent systems for end-to-end problem solving
- 3Integrate AI agents with enterprise data sources such as BigQuery and Cloud Spanner using MCP Toolbox
- 4Design and optimize AI/ML solutions on Vertex AI including model training tuning deployment and evaluation
- 5Build real-time and batch data pipelines using Dataflow and Vertex AI Endpoints
- 6Implement RAG and vector search solutions using BigQuery Vector Search or AlloyDB
Requirements5
- 1Strong experience with Vertex AI Agent Builder and ADK
- 2Proficiency in Python SQL BigQuery and data preprocessing techniques
- 3Hands-on experience with GCP including BigQuery Cloud Storage Vertex AI Endpoints and Cloud Spanner
- 4Knowledge of multi-agent systems and agentic architectures
- 5Familiarity with financial services or retail domains
Salary Insight
$69 - $162k per year
Location
Required Skills
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