AI Platform Engineering Senior Consultant

Capgemini is a global business and technology transformation partner helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340000 team members in more than 50 countries. With its strong over 55-year heritage Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering all fueled by its market leading capabilities in AI generative AI cloud and data combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of 22.1 billion.

Were looking for a passionate and experienced AI Platform Engineering Senior Consultant to join our vibrant team! As an AI Platform Engineering Senior Consultant you will lead the design implementation and modernization of enterprise AI platforms supporting Generative AI Machine Learning Advanced Analytics and Intelligent Automation initiatives. You will help customers build secure scalable and production-ready AI platforms leveraging NVIDIA AI Enterprise Kubernetes OpenShift VMware cloud services and automation technologies across hybrid and multi-cloud environments.

• Lead the architecture design and deployment of enterprise AI and Generative AI platforms across cloud on-premises and hybrid environments.
• Design AI-ready infrastructure leveraging NVIDIA AI Enterprise GPU technologies Kubernetes OpenShift VMware and cloud-native services.
• Develop AI platform strategies target-state architectures governance frameworks and modernization roadmaps.
• Enable enterprise AI use cases including LLMs RAG AI Agents MLOps LLMOps and Intelligent Automation platforms.
• Implement Infrastructure-as-Code GitOps Terraform Ansible CI/CD and automation frameworks to drive platform standardization and operational excellence.
• Integrate AI platforms with ServiceNow ITSM ITOM CMDB Change Management and operational workflows.
• Establish monitoring observability governance security and lifecycle management capabilities for AI platforms.
• Lead customer workshops architecture reviews executive briefings solution development and mentoring activities.

• Bachelors degree in Computer Science Engineering Information Technology or a related field.
• Minimum 10 years of experience in Platform Engineering Cloud Architecture Infrastructure Engineering AI Platforms or Technology Consulting.
• Minimum 5 years of experience designing and operating enterprise AI Machine Learning Data Science or Advanced Analytics platforms.
• Outstanding English communication both verbal and non-verbal.
• Strong expertise in NVIDIA AI Enterprise GPU-accelerated infrastructure AI platform architecture MLOps and LLMOps.
• Deep knowledge of Kubernetes and container platforms including Red Hat OpenShift AKS Amazon EKS GKE and VMware Tanzu.
• Hands-on experience with Terraform Ansible GitOps CI/CD pipelines and platform automation.
• Experience with AI technologies such as PyTorch TensorFlow Hugging Face LangChain Vector Databases and Generative AI ecosystems.
• Strong understanding of Azure AWS and Google Cloud AI services and infrastructure platforms.
• Experience integrating enterprise platforms with ServiceNow and implementing governance security and operational best practices.
• Excellent consulting stakeholder management leadership communication and presentation skills.