Job Description
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.
Responsibilities
Job Description
Generative AI Use Case Assessment Shaping
Collaborate with Business stakeholders and Business Analysts to identify define and prioritize Generative AI opportunities
Conduct frontend feasibility and scope assessments evaluating use case suitability data readiness risk considerations and value potential
Filter out misscoped or unfeasible requirements before AI engineering engagement ensuring clean and handovers
Generative AI Solution Research Design
Partner with Generative AI engineers to research design and refine AI solutions that address business needs
Research on the latest Generative AI trends emerging technologies and market best practices Contribute to enhancement to enterprise level AI frameworks playbooks and standards Incorporate industry best practices into model design evaluation and solution optimization
Analyze model and solution behaviors to identify limitations such as misinterpretations hallucinations edge case failures or inconsistent responses and collaborate with engineers to implement improvements
Stay informed on the latest Generative AI trends emerging technologies and market best practices contributing insights to guide development and continuous enhancement of AI solutions
Business Collaboration
Help Business Analysts and users during UAT for Generative AI solutions and advise business users on Generative AI solution behaviour and behaviour root cause
Work closely with Technology and AI Engineering teams to clarify issues formalize fixes and ensure solutions meet business intent and evaluation criteria
Machine Learning Advanced Analytics
Design and develop machine learning models for automation insights and use cases
Leverage enterprise machine learning platforms to build and deploy models effectively
Document model logic assumptions and limitations for transparency governance and knowledge sharing
Qualifications
Job Description - Grade Specific
Bachelors or Masters degree in Data Science Computer Science Artificial Intelligence Engineering Statistics or a related quantitative discipline
3-7 years of applied experience in AI machine learning analytics and Generative AI roles
Hands on experience with Generative AI solutions e.g. chatbots copilots LLM based tools agentic assistants in enterprise environments
Strong understanding of the end-to-end AI lifecycle including use case definition feasibility assessment evaluation and continuous improvement
Experience working in Agile delivery environments collaborating with product owners business analysts and technology teams
Preferred Skills
Generative AI Expertise Deep understanding of Generative AI models model behaviour and limitations and application frameworks with the ability to assess solutions and guide improvements
AI Solution Design Ability to translate business pain points into AI opportunities and propose solutions that balance speed to market cost and quality
Cloud Microsoft AI Stack Familiarity with cloud based AI platforms preferably within the Microsoft ecosystem eg Azure Copilot Studio AI Foundry with awareness of cloud and data constraints in Gen AI solution design
Agile Delivery Collaboration Experience to deliver UAT cycles and sprint based refinement with Business BAs and Technology teams
Banking Enterprise Context Understanding of banking products operating models and regulatory considerations with the ability to assess GenAI use cases in a regulated enterprise environment
Communication Stakeholder Engagement Strong ability to clearly convey AI capabilities risks and recommendations to both technical and nontechnical stakeholders
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 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com
