AI/GenAI Architect

About Capgemini:

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is 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

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Position Summary:

This role is accountable for shaping and executing the organization’s data and AI strategy to deliver intelligent, scalable, and future-ready solutions. It will lead the creation of strong data foundations through Master Data Management and Data Governance, ensuring accuracy, security, and compliance across the enterprise. The position will also design and optimize modern data architectures on hyperscaler platforms, enabling advanced analytics and AI-driven capabilities that unlock actionable insights and accelerate innovation. Ultimately, this role ensures that data and AI initiatives translate into measurable business outcomes.

Key Responsibilities:

Identify opportunities where AI and machine learning can be applied to streamline processes, automate tasks, and enhance decision-makingDesign end-to-end AI architectures that align with business objectives, considering data integration, model selection, and system scalabilityLead discussions on AI solution design, providing technical leadership and insights to drive decision-makingLead the evaluation and selection of AI technologies, frameworks, and tools to support solution developmentExperience with business process analysis, process automation, and operational efficiency improvement is an advantageExcellent communication skills and the ability to work collaboratively with cross-functional teamsStay at the forefront of AI advancements, researching and evaluating emerging technologies to ensure our solutions remain cutting-edge and competitive.Document architectural decisions, technical documentation that aids in solution understandingDefine and execute the enterprise data and AI strategy to enable intelligent, scalable, and future-ready solutions for our engagementsEstablish robust data foundations through Master Data Management and Data Governance, ensuring accuracy, security, and compliance across the organizationDesign and optimize modern data architectures on hyperscaler platforms (e.g., Azure, AWS, GCP) to support advanced analytics and AI-driven capabilitiesDrive AI adoption and innovation, leveraging data to unlock actionable insights and accelerate transformationCollaborate with business stakeholders across functional areas to ensure data capabilities deliver measurable business outcomesIntegrate automation as an enabler, complementing data and AI initiatives to enhance agility and efficiencyChampion best practices and standards for data quality, governance, and architecture to support enterprise-wide scalabilityEnable and maximize billabilityQualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.10+ years of experience in leveraging artificial intelligence and machine learning technologies to optimize and transform various aspects of our business operations.Minimum of 5 years of experience in designing and architecting AI solutions, with a strong focus on end-to-end automationProven experience in solution architecture for Data and AI platforms, including hyperscaler environments (Azure, AWS, GCP)Strong ability to translate complex technical concepts into clear business outcomes, ensuring alignment with organizational goalsExcellent communication and stakeholder engagement skills, with experience influencing senior leaders and cross-functional teamsSolid understanding of enterprise processes and functional domains to ensure data strategies support business objectives (Finance and Supply Chain expertise is complementary but not primary for this role)Exce