Join a dedicated team of passionate cloud and architecture enthusiasts within our Cloud and Custom Applications practice. Starting small a few years ago, our team has experienced rapid growth and continues to expand. We have a strong focus on Hybrid and Multicloud Platforms and are proud to offer our clients the most cutting-edge tailor-made solutions available in the market. Be part of our success story and contribute to transforming the way we serve our clients with powerful Cloud solutions!
As an AWS AI Cloud Solution Architect, your role is to design, build and scale AI-powered solutions on Amazon Web Services. You act as a trusted advisor for both business and IT stakeholders, translating business needs into secure, scalable and cost‑effective AI architectures on AWS.
You work at the intersection of cloud architecture, machine learning and generative AI, guiding clients from strategy to implementation while ensuring solutions are production-ready, responsible and aligned with enterprise standards.
Key responsibilities
Design end‑to‑end AI and machine learning architectures on AWS, from data ingestion and model development to deployment and integration with enterprise systems.
Architect generative AI solutions using Amazon Bedrock, including foundation model selection, prompt design, security, and governance.
Define and build ML platforms and workflows with Amazon SageMaker, covering training, tuning, deployment, and MLOps.
Translate business needs into well‑architected AWS AI solutions, aligned with security, compliance, and cost‑optimization best practices.
Advise clients on AI adoption strategies, cloud migration, modernization, and responsible AI; lead PoCs, architecture workshops, and hackathons, and support pre‑sales activities.
Stay current with AWS AI and cloud innovations, share knowledge within Capgemini, and coach junior architects and engineers.
