GenAI Solution Architect

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. We are at the forefront of innovation to address the entire breadth of clients' opportunities in the evolving world of cloud, digital and platforms! Building on its strong 50-year+ heritage and deep industry-specific expertise, We enable organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries!

Visit us at www.capgemini.com. People matter, results count Good project management

• Find opportunities where AI and Machine Learning can be applied to simplify processes, automate tasks, and improve decision-making.
• Design end-to-end AI architectures that align with business objectives, considering data integration, model selection, and system scalability.
• Lead discussions on AI solution design, providing technical leadership and insights to drive decision-making.
• Be responsible for the evaluation and selection of AI technologies, frameworks, and tools to support solution development.
• Experience with business process analysis, process automation, and operational efficiency improvement is an advantage.
• Excellent interpersonal skills and the ability to work collectively with cross-functional teams.
• Stay overhead of AI advancements, researching and evaluating new technologies to ensure our solutions remain groundbreaking and driven.
• Document architectural decisions, user documentation that aids in solution understanding.

• Bachelor's or master's degree in computer science, Engineering, or a related field.
• Overall 10+ years of experience in demonstrating artificial intelligence and machine learning technologies to optimize and transform various aspects of our business operations.
• Minimum of 5 years of proven record in designing and architecting AI solutions, with a strong focus on end-to-end automation
• Proven expertise in machine learning techniques, deep learning frameworks, image processing and AI-related technologies including Generative AI
• Experience with one of the cloud platforms (e.g., AWS, Azure, Google Cloud)