Network Infrastructure Engineer handling design and operation of global networks for financial services firm. Collaborating across teams to implement SD - WAN and cloud security solutions.
About the role
- Infrastructure Architect developing AI-ready cloud architectures covering GPU clusters and AI frameworks at Capgemini. Leading modernization assessments and defining infrastructure blueprints for AI cloud programs.
Responsibilities
- Develop AI-ready cloud architectures covering GPU clusters, LLM hosting frameworks, distributed training, hybrid AI, and edge AI
- Lead Cloud & AI modernization assessments, maturity evaluations, and capability gap identification
- Define end-to-end AI infrastructure blueprints including data pipelines, vector stores, orchestrators, MLOps, and security layers
- Design solution architectures, effort estimates, delivery models, and cost structures for AI cloud programs
- Provide architectural governance during early delivery phases
- Respond to RFPs/RFIs, write technical solution narratives, and participate in bid defenses
- Create compelling demos, POVs, and prototypes showcasing unique capabilities (e.g., RAG pipelines, AI-optimized compute clusters)
- Collaborate with Sales, Industry Leads, and Delivery to generate leads, engage and craft winning propositions
Requirements
- 10+ years in cloud architecture
- 2+ years in AI infrastructure
- Expertise in Azure AI Studio / Azure ML, AWS SageMaker / Bedrock and GCP Vertex AI
- Infrastructure Modernization – Refactoring, replatforming, IaC and Secure Landing Zones
- Kubernetes, GPU Scheduling, MLOps & LLMOps patterns
- Identity & Access: Azure AD, AWS IAM, Okta
- Monitoring: Prometheus, Grafana, Azure Monitor, CloudWatch
- Experience with Solutioning for RFP responses and commercial models
- Strong financial acumen for cloud AI TCO and GPU utilization optimization
- Strong consulting and client-facing experience.
Benefits
- Flexible work arrangements
- Career growth programs
- Valuable certifications in latest technologies
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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