Senior Software Engineer
About The Position
At Capgemini, you will collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. You will contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment. We are seeking a highly skilled AI Engineer with expertise in Agentic AI, Vertex AI, and Google Cloud Platform (GCP) to design, develop, and deploy scalable AI-powered solutions. The ideal candidate will have strong experience in building intelligent agents, developing data-driven AI applications, and leveraging cloud-native technologies to solve complex business problems.
Requirements
- Strong hands-on experience with Vertex AI, including Agent Builder, Model Garden, Vertex AI Pipelines, and Model Evaluation.
- Expertise in Python for AI/ML engineering and automation.
- Advanced SQL skills with hands-on experience in BigQuery.
- Experience with data preprocessing, feature engineering, and model deployment.
- Strong knowledge of Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Cloud Storage, Vertex AI, and Cloud Spanner.
- Experience with real-time data processing and streaming architectures.
- Knowledge of Agentic AI frameworks, multi-agent systems, and AI orchestration patterns.
- Strong analytical, problem-solving, and communication skills.
Nice To Haves
- Experience in Financial Services, Banking, Retail, or eCommerce domains.
- Knowledge of PII handling, data masking, redaction, privacy, and compliance standards.
- Experience with Vector Databases, RAG (Retrieval-Augmented Generation), and Context-Aware AI Systems.
- Familiarity with MLOps, CI/CD, and cloud-native deployment practices.
Responsibilities
- Build and deploy intelligent agents using Vertex AI Agent Builder and ADK.
- Develop multi-agent solutions and integrate them with enterprise systems using MCP Toolbox.
- Design and optimize AI/ML solutions using Vertex AI, BigQuery, and Dataflow.
- Build real-time inference and data pipelines on GCP.
- Implement vector search and grounding solutions using BigQuery and AlloyDB.
- Collaborate with stakeholders to translate business requirements into scalable AI architectures.
Benefits
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
