Agentic AI Engineer: Vertex AI & Multi-Agent Systems

Capgemini

Nashville (TN)

Hybrid

USD 69,000 - 162,000

Full time

12 days ago

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Benefits offered by this job

Medical coverage
401(k)
PTO 12-25 days
Life insurance
Employee assistance

Job summary

Capgemini is seeking a hybrid-role AI/ML engineer to design and build agentic AI systems on Google Cloud. You will implement solutions using Vertex AI tools, connect to BigQuery and Cloud Spanner, and develop real-time data pipelines with Dataflow.

The role emphasizes end-to-end problem solving, multi-agent architectures, and production-grade data workflows. A strong background in Python, SQL, and GCP is required.

Qualifications

  • Strong experience with Vertex AI and related tools.
  • Hands-on GCP work with BigQuery, Cloud Storage, and Spanner.
  • Experience in data preprocessing and model deployment.
  • Knowledge of multi-agent architectures and real-time processing.

Responsibilities

  • Design and build agentic AI systems to automate business processes.
  • Develop multi-agent systems for end-to-end problem solving.
  • Integrate AI agents with enterprise data sources (BigQuery, Spanner).
  • Design and optimize AI/ML solutions on Vertex AI, including training and deployment.
  • Build real-time and batch data pipelines using Dataflow and Vertex AI Endpoints.

Skills

Multi-agent systems
Agentic architectures
Real-time processing
Python
SQL (BigQuery)

Tools

Vertex AI
Vertex AI Agent Builder
Model Garden
Vertex AI Pipelines
BigQuery
Cloud Spanner
MCP Toolbox
Vertex Endpoints
BigQuery Vector Search
AlloyDB
Dataflow
Python
SQL (BigQuery)

Job description

Capgemini is seeking a hybrid-role AI/ML engineer to design and build agentic AI systems on Google Cloud. You will implement solutions using Vertex AI tools, connect to BigQuery and Cloud Spanner, and develop real-time data pipelines with Dataflow.

The role emphasizes end-to-end problem solving, multi-agent architectures, and production-grade data workflows. A strong background in Python, SQL, and GCP is required.

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