Senior Ai Engineer

Job Title: Senior Artificial Intelligence Engineer Job Role Type: Contract to Hire (3 months) Contract Duration: From February 23, 2026 to July 10, 2026 Job Location: Remote, US East Coast Time Zone Experience Required: Any Travel Requirements: Not Specified Company Overview: Capgemini About the Role: The senior AI engineer role focuses on leveraging Google Cloud Platform and Vertex AI technologies to develop, deploy, and manage AI and machine learning models within a US East Coast time zone remote engagement. Key Responsibilities: Develop and utilize Vertex AI capabilities including built-in predictive and generative AI features and Model Garden; build and execute Vertex AI pipelines using Kubeflow; configure Core GCP services including BigQuery, Google Cloud Storage, and managed Vertex AI notebooks; implement MLOps maturity through CI/CD workflows with Cloud Build or GitHub; manage model lifecycle with Vertex AI Model Registry and Artifact Registry; track pipeline runs with Vertex AI Experiments; create infrastructure automation scripts to manage AI/ML sandbox environments. Tech Stack / Domain Knowledge: Google Cloud Platform, Vertex AI, BigQuery, Google Cloud Storage, Kubeflow, Cloud Build, GitHub, Artifact Registry, Terraform (IaC) Primary skills: Vertex AI, MLOps, Machine Learning Secondary skills: Traditional Machine Learning, supervised learning models