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NTT DATA

AI Infrastructure Solution Architect

Posted 2 Days Ago
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Remote
Hiring Remotely in Kallang
Senior level
Remote
Hiring Remotely in Kallang
Senior level
Lead the design of AI infrastructure solutions using NVIDIA and HPE technologies for enterprise clients, focusing on hardware architecture, software integration, and cloud solutions.
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Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

We are looking for a technically skilled and customer-centric AI Infrastructure Solutions Architect to lead the design and positioning of AI solutions built on NVIDIA and HPE platforms. This role focuses on enabling enterprise and public sector customers to deploy scalable, high-performance AI infrastructure using NVIDIA GPUs, software stacks, and HPE compute, storage, and networking technologies.

Key Responsibilities:

1. AI Hardware Architecture

  • Design AI compute clusters using the likes of NVIDIA GPUs (e.g., H100, A100, L40S) integrated into the likes of HPE Apollo, Cray, and ProLiant platforms or others.
  • Recommend server configurations including HPE GreenLake for HPC & AI, HPE Machine Learning Development Environment, NVIDIA systems and others.
  • Architect high-speed interconnects using NVIDIA NVLink, InfiniBand, and HPE Slingshot for distributed training workloads.
  • Size and optimize storage solutions using HPE Alletra, HPE Ezmeral Data Fabric, NVIDIA GPUDirect Storage and others.

2. AI Software Stack & Integration

  • Architect AI/ML environments using NVIDIA AI Enterprise, CUDA, cuDNN, and TensorRT.
  • Integrate Container Platforms and Kubernetes for scalable AI workloads.
  • Design MLOps pipelines using NVIDIA Base Command, MLflow, and Kubeflow.
  • Ensure compatibility with AI frameworks (e.g., PyTorch, TensorFlow) and job schedulers (e.g., Slurm, Ray).

3. Presales Engagement & Technical Enablement

  • Collaborate with account teams to understand customer requirements and translate them into client aligned solutions.
  • Deliver technical presentations, demos, and workshops focused on AI infrastructure.
  • Lead Proof-of-Concept (PoC) deployments and performance benchmarking using NVIDIA NGC containers and infrastructure systems.
  • Create architecture diagrams, BOMs, and solution briefs tailored to customer use cases.

4. Hybrid & Cloud AI Infrastructure

  • Design hybrid AI infrastructure leveraging the likes of HPE HPC, NVIDIA AI Cloud Services, and public cloud platforms (Azure, AWS, GCP).
  • Advise on cloud-native AI services and integration with on-prem NVIDIA/HPE workloads.
  • Support discussions around data gravity, latency, and cost optimization in hybrid deployments.

5. Partner & Ecosystem Collaboration

  • Work closely with NVIDIA, HPE, and ecosystem partners to co-develop and position joint AI solutions.
  • Stay current with emerging NVIDIA and HPE technologies, product roadmaps, and industry trends.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Engineering, Data Science, or related field.
  • 5+ years of experience in infrastructure architecture, with a focus on AI/ML workloads.
  • Deep understanding of GPU compute, high-performance storage, and networking.
  • Experience with NVIDIA AI software stack, HPE infrastructure, and container orchestration.
  • Strong communication and customer engagement skills.

Preferred Qualifications:

  • Certifications in cloud or infrastructure architecture (e.g., NVIDIA Certified, HPE ASE, Azure/AWS/GCP Architect).
  • Experience with NVIDIA DGX systems, HPE HPC, and AI workload benchmarking.
  • Familiarity with data governance, security, and compliance in AI environments.
  • Prior experience in presales, technical consulting, or solution architecture.

Why Join Us?

  • Shape the future of enterprise AI infrastructure with industry leaders like NVIDIA and HPE.
  • Work with cutting-edge hardware and software technologies.
  • Collaborate with innovative customers and partners across industries.
  • Be part of a high-impact team driving AI transformation.

 

Workplace type:

About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.  Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Top Skills

AWS
Azure
Container Platforms
Cuda
Cudnn
GCP
Hpe Apollo
Hpe Cray
Hpe Greenlake
Hpe Hpc
Hpe Machine Learning Development Environment
Hpe Platforms
Hpe Proliant
Kubeflow
Kubernetes
Mlflow
Nvidia Ai Cloud Services
Nvidia Ai Enterprise
Nvidia Base Command
Nvidia Gpus
PyTorch
Ray
Slurm
TensorFlow
Tensorrt

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