Gen Ai Solution Architect

Job Description
- Be part of Capgemini, a global leader in consulting, technology, and outsourcing services.
- Empower yourself to shape your career with endless growth opportunities.
- Work in a supportive and collaborative environment with colleagues worldwide.
- Reimagine possibilities by helping leading organizations unlock the value of technology
- Contribute to building a more sustainable and inclusive world.
Your Role
- Design and architect scalable and efficient generative AI models and systems.
- Develop and implement generative AI algorithms for various applications, including text generation, image synthesis, and more.
- Collaborate with data scientists, machine learning engineers, Integration engineers, UI Developers and software developers to integrate AI models into production environments.
- Lead the development of AI-powered applications and services, ensuring they meet performance, scalability, and reliability requirements.
- Stay updated with the latest advancements in Gen AI, LLMs, Gen AI Frameworks, Cloud technologies, AI and machine learning, and apply them to improve existing systems and processes.
- Provide technical guidance and mentorship to team members and stakeholders.
- Conduct research and experiments to push the boundaries of generative AI capabilities.
Your Profile
- Master's or PhD degree Computer Science, Engineering, Mathematics, or a related field or a related field
- 7+ years of experience in AI/ML development, with a focus on generative models.
- Strong proficiency in programming languages such as Python, Java, or C++.
- Extensive experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
- Proven track record of designing and deploying AI systems in a production environment.
- Deep understanding of neural networks, natural language processing, and generative models (e.g., GANs, VAEs, Transformers).
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).