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# Senior Software Engineer - Agentic AI Engineer

- **Company:** Capgemini
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $73,150.0 - $174,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Encodings, Databases, Data Cleansing, Data Flow Control, Python (Programming Language), Machine Learning, Data Streaming, Real Time Systems, Feature Engineering, Sql Optimization, Multi-Agent Systems, Model Validation, Virtual Agents
- **Published:** August 19, 2026
- **Apply:** https://www.capgemini.com/jobs/521003-en_US_SAPBTP/x/

## About the Role

* Senior candidate with 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, and 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.

## Description

* Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
 * Use the Agent Developer Kit to build and manage multi-agent systems that solve end-to-end business challenges.
 * Implement tools such as the Model Context Protocol (MCP) Toolbox to securely connect agents with enterprise databases, including BigQuery and Spanner.
 * Use Vertex AI for model training, tuning, evaluation, and deployment.
 * Integrate Vertex AI with BigQuery for feature engineering.
 * Build and optimize streaming data pipelines using Dataflow.
 * Execute real-time inference through the RunInference API or Vertex AI endpoints.
 * Ground AI models in current business context using vector engines within BigQuery or AlloyDB


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- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
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