AWS AI Lead Cloud Engineer
Indexed description
YOUR ROLE
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.
- Proven experience as an Enterprise Cloud Solution Architect / AI Architect, owning solutions end‑to‑end and leading stakeholders from design through delivery.
- Strong hands‑on expertise in AWS cloud architecture (VPC, IAM, EC2, S3, Lambda, EKS) and designing secure, scalable, and cost‑efficient solutions aligned with the AWS Well‑Architected Framework.
- Practical experience with AWS AI/ML services, including Amazon Bedrock (generative AI), Amazon SageMaker (development, training, deployment, MLOps), and optionally services like Rekognition, Comprehend, Textract, or Kendra.
- Solid understanding of DevOps and MLOps practices, CI/CD pipelines, and Infrastructure as Code (CloudFormation, Terraform); AWS certifications are a strong plus.
- Fluent in Dutch and English (French is an asset).
- At Capgemini Belgium we offer flexibility in more than one way: next to our hybrid way of working, where we offer you can work 70% from home, we also offer our flex abroad program. With this program you can work up to 45 days abroad, this to maintain a good work-life balance.
- Next to this we also offer following additional benefits:
- Net expenses
- Company car or mobility budget (whatever works best for you)
- Health insurance
- Meal vouchers
- Pension plan
- Eco vouchers from €250/year.
- A flex plan where you can buy extra days off, update your insurance or buy home office supplies.
- 32 vacation days + Bank holidays.
Make it real | www.capgemini.com
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