AI - Engagement Manager
at Capgemini
Posted 5 days ago
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Oversee AI engagement delivery for Capgemini clients, ensuring engagements are properly resourced and staffed, and that delivery management processes and governance are in place. Manage financials, including ETC/EAC forecasts, invoices, and contract change control, while maintaining realistic end-date plans and risk registers. Lead and coordinate the engagement team, communicate status and opportunities, and resolve conflicts. Requires strong AI/ML expertise (LLMs, transformers), cloud and on-prem deployments, and proven delivery leadership.
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.
Job Description
Main Delivery responsibilities
• Ensure engagements are suitably resourced to execute contracted commitments; ensure approved staff are appointed to defined roles
• Establish and operate the required Delivery Management processes, regimes and rituals (including but not limited to the suitable adoption of UPM/USM)
• Maintain commercial adherence and rigor across the engagement through a contract change process (including audit trail regime)
• Maintain an accurate and realistic plan to the end of the contracted obligation/estimated completion date, to a suitable level of detail
• Include Gant and Risk/Issue register
• Ensure Estimates To Complete (ETC), Estimate At Completion (EAC) and DVI are accurately forecast in line with defined finance principles
• Ensure invoices are timely, accurate and paid
• Communicate to the team about status, issues and opportunities in a balanced way, brokering/negotiating where conflicts arise
• Organize and steer the engagement team
Job Description - Grade Specific
Required skills and experience
• Bachelor’s degree in computer science, Artificial Intelligence, or related technical fields. (Master’s degree is preferred).
• EM Certification (minimum foundation level or adequate higher level according to engagement complexity)
• Proven track record in operational management and in project delivery
• Ability to manage customer crisis
• Communication and people management skills
• Problem solving skills
• Technical expertise in AI and machine learning, particularly in building and deploying LLMs and transformers.
• Experience with cloud services (AWS, Azure, Google Cloud) and on-premises deployments, focusing on scalability and security of AI deployments.
• Strong knowledge of in-context learning, fine-tuning, zero-shot learning, few-shot learning, and prompting techniques.
• Ability to work collaboratively in a fast-paced, team-oriented environment.
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
