20 hours ago
Tianjin, ChinaSenior
Responsibilities
- Design and evolve the enterprise AI Platform architecture on AWS for scalability, security, and operational excellence.
- Define architectural standards, reusable patterns, and best practices for AI platform capabilities and integrations.
- Lead implementation of model hosting, AI gateways, observability, governance, and guardrails.
- Collaborate with infrastructure, security, and engineering teams to accelerate platform delivery and adoption.
- Identify and mitigate architectural risks, technical bottlenecks, and integration challenges.
- Support the AI Platform roadmap and operating model with business and technology stakeholders.
Requirements
- Proven experience as an AI Architect, Cloud Architect, or Platform Architect in an enterprise environment.
- At least 1 year of hands-on experience with AWS Cloud technologies.
- Strong understanding of AI/ML platforms, Generative AI services, and cloud-native architecture principles.
- Experience defining secure, scalable, and governed AI solutions, including security, observability, and cost optimization practices.
- Excellent stakeholder management, communication, and problem-solving skills.
- Fluency in French and English.
- Experience in financial services and AWS AI services such as Bedrock and SageMaker is a plus.
Benefits
- Hybrid working arrangement with flexibility and work-life balance.
- Continuous learning and personal growth opportunities.
- Five weeks of vacation.
- Employee referral bonus.
- Company shares program.
- Annual contribution to a fitness subscription.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.