AI Infrastructure Architect
The Adecco Group
2 - 5 years
Chennai
Posted: 23/12/2025
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Job Description
- Design and implement large-scale AI/ML infrastructure solutions using NVIDIA GPU clusters, SMCI server platforms, and high-performance computing architectures to support enterprise AI workloads
- Lead the architecture and deployment of distributed AI training environments, including multi-node GPU clusters, InfiniBand networking, and parallel computing frameworks like NVIDIA NVLink and NVSwitch
- Develop comprehensive infrastructure strategies for AI model training, inference, and deployment across on-premises, cloud, and hybrid environments using SMCI hardware solutions and NVIDIA AI Enterprise software stack
- Oversee the integration of AI accelerators, including NVIDIA A100, H200, and emerging GPU architectures, with SMCI SuperServer platforms to optimize performance and resource utilization
- Collaborate with data science teams to design scalable MLOps pipelines, model serving infrastructure, and automated deployment systems using containerization and orchestration technologies
- Establish monitoring, logging, and performance optimization frameworks for AI workloads, implementing solutions like NVIDIA Triton Inference Server and GPU monitoring tools
- Lead technical due diligence for AI hardware procurement decisions, including SMCI server configurations, NVIDIA GPU selections, and storage solutions for large-scale AI datasets
- Mentor junior infrastructure engineers and provide technical leadership in AI infrastructure best practices, including security, compliance, and cost optimization strategies
- Drive automation initiatives for AI infrastructure provisioning, configuration management, and lifecycle management using Infrastructure as Code principles
- Partner with stakeholders to define AI infrastructure roadmaps, capacity planning, and technology adoption strategies aligned with business objectives
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