17 days ago
Responsibilities
- Design end-to-end AI and software solutions.
- Define architectures for AI, cloud, software, network, and edge solutions.
- Select technologies, AI models, and cloud platforms.
- Design integrations among AI models, applications, APIs, databases, networks, and edge devices.
- Guide development teams on technical implementation and review technical designs and code.
- Ensure solutions are scalable, secure, reliable, and maintainable.
- Support proofs of concept and new AI initiatives.
- Collaborate with hardware, robotics, network, software, cloud, and DevOps teams.
- Evaluate new AI technologies and define development and deployment standards for the AI Lab.
Requirements
- Strong experience in software architecture and design.
- Strong understanding of AI and generative AI, including LLMs and AI APIs.
- Strong understanding of cloud architecture and knowledge of AWS and Google Cloud.
- Good understanding of networking and distributed systems.
- Knowledge of APIs, microservices, databases, security, DevOps, and CI/CD.
- Knowledge of Python and/or other programming languages.
- Experience designing end-to-end solutions.
- Experience or knowledge of Google AI, Google Cloud AI, AWS AI services, OpenAI, Anthropic, RAG, and AI agents.
- Strong communication and problem-solving skills.
Categories
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com