Infrastructure Architect at Capgemini Portugal

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Architectures, GPU Clusters, LLM Hosting Frameworks, Distributed Training, Hybrid AI, Edge AI, Cloud Modernization, AI Infrastructure Blueprints, Data Pipelines, Vector Stores, MLOps, Security Layers, RFP/RFI Response, Azure AI Studio, AWS SageMaker, GCP Vertex AI

Industry

IT Services and IT Consulting

Description

Your Role 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 Your Profile 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. What you’ll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. 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.

Responsibilities

The role involves developing AI-ready cloud architectures covering GPU clusters, LLM hosting, distributed training, and hybrid/edge AI solutions. Responsibilities also include defining end-to-end AI infrastructure blueprints, designing solution architectures, and providing architectural governance during delivery phases.