Join Capgemini as a Senior Cloud GEN AI Architect, a pivotal role for experienced professionals passionate about shaping the future of AI and cloud solutions. You will leverage your extensive background in designing scalable SaaS and enterprise platforms across major cloud providers.

This position focuses on leveraging cutting-edge generative AI technologies, including Azure AI Foundry, AWS Bedrock, and Google Vertex AI. You will be instrumental in delivering advanced GenAI, RAG, AI Agents, robust data platforms, and seamless cloud-native solutions.

Your expertise will be crucial in driving enterprise modernization, product consolidation, and leading cross-functional technology initiatives. We offer a dynamic environment with opportunities for continuous learning and impactful contributions to industry-leading projects.

Architect and implement enterprise-grade Generative AI solutions utilizing Azure AI Foundry, AWS Bedrock, and Google Vertex AI to automate complex business processes and enhance strategic decision-making.

Design and deploy scalable RAG (Retrieval-Augmented Generation) and AI Agent architectures, effectively integrating diverse enterprise knowledge sources and vector databases.

Lead cloud modernization efforts and oversee product consolidation initiatives across various business units, ensuring efficiency and innovation.

Develop and maintain secure, scalable SaaS platforms by employing microservices, CI/CD pipelines, and cloud-native best practices.

Deliver comprehensive data analytics and pipeline solutions that facilitate real-time insights and power AI-driven applications.

Foster collaboration among engineering, product, and business teams to ensure the successful integration of modern AI and cloud technologies.

Possess a minimum of 15 years of experience architecting scalable SaaS and enterprise platforms across Azure, AWS, and hybrid environments.

Demonstrate deep expertise in Azure AI Foundry, AWS Bedrock, and Google Vertex AI, with a proven track record of delivering GenAI, RAG, and AI Agent solutions.

Exhibit a strong background in enterprise modernization, product consolidation, ITSM, data analytics, and cross-functional technology leadership.

Proficiency in cloud technologies such as Azure, AWS, GCP, Multi-Cloud Architecture, and SaaS Platforms is essential.

Experience with data and analytics tools including Databricks, Synapse, Fabric, Data Lakes, and Data Pipelines is required.

Strong development skills in Python, C#, Java, React, and Angular, alongside DevOps expertise in Kubernetes, Docker, Terraform, GitHub Actions, Azure DevOps, and CI/CD, are critical for this role.

Familiarity with enterprise solutions like ITSM, API Integration, Microservices, and Product Modernization is expected.