AI Platform Engineering Senior Consultant
Senior consultant at Capgemini who designs, deploys, and modernizes enterprise AI and Generative AI platforms for clients across hybrid and multi-cloud environments, working with NVIDIA AI Enterprise, Kubernetes/OpenShift, GPU infrastructure, and automation tooling like Terraform and GitOps to enable MLOps/LLMOps use cases.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Engineering, Information Technology, or 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
Full description
About Capgemini
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 340,000 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.
Job Description:
We're 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.
Key Responsibilities
- 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.
Qualifications:
- Bachelor’s 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.