[Hiring] Gen AI @Capgemini

Role Description

This role focuses on creating innovative Gen AI and Agentic solutions to address real-world challenges, while adhering to industry best practices for high-quality solution design and deployment.

• Solution Design: Collaborate with stakeholders to design and implement effective Generative AI and Agentic solutions tailored to specific business requirements, ensuring alignment with industry best practices.
• Hands-On Development: Engage in hands-on coding and development of AI models and algorithms, utilizing the latest tools and technologies in the Generative AI landscape.
• Solution Development: Lead the creation of solutions that solve real business problems leveraging the capabilities of Generative AI and Agentic technologies.
• Business Workflow Automation: Design and develop agentic solutions to automate tedious business workflows.
• Content Generation: Automating the creation of marketing materials, articles, and social media content.
• Data Augmentation: Generating synthetic data for training machine learning models.
• Conversational Agents: Developing chatbots that provide natural, context-aware interactions.
• Document Processing: Automating tasks like summarization and information extraction from documents.
• Personalization: Creating tailored user experiences based on behavior and preferences.
• Prototyping: Building prototypes that showcase Generative AI capabilities in real-time applications.
• Integration: Testing how Generative AI solutions can enhance existing enterprise systems.
• Best Practices Awareness: Stay informed about industry best practices and emerging trends in Generative AI, contributing to the continuous improvement of development processes and solution architectures.
• Collaboration: Work closely with data scientists, engineers, and product teams to integrate AI solutions into existing systems and workflows.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree is a plus.
• 8-12 years of experience as a Generative AI Architect.
• Extensive hands-on experience in solutioning, developing frameworks, and leveraging Large Language Models (LLMs).
• Strong background in implementing solutions on hyper-scalers (such as AWS, Azure, or Google Cloud).

Requirements

• Proficiency in programming languages such as Python, TensorFlow, or PyTorch.
• Experience with LLM frameworks and model deployment on platforms like AWS, Azure, or Google Cloud.
• Strong analytical mindset with the ability to tackle complex technical challenges and deliver effective solutions.
• Excellent verbal and written communication skills, enabling you to convey technical concepts to diverse audiences effectively.

Benefits

• Flexible work arrangements to provide support, including remote work and flexible work hours.
• Career growth programs and diverse professions crafted to support you in exploring a world of opportunities.
• Valuable certifications in the latest technologies such as Generative AI.