Project Role : AI Infrastructure Architect

Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.

Must have skills : AI Agents & Workflow Integration

Positive to have skills : Amazon Web Services (AWS)

Minimum 12 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent

As a Senior Engineer in AI Infrastructure Architecture for AWS, you will own significant portions of the end-to-end architecture and engineering of optimized compute infrastructure for large-scale AI and machine learning systems. You will design scalable distributed training environments, model-serving foundations, automation patterns and operational controls that align with client standards, SLAs, security, compliance and cost-efficiency expectations.



You will bring industry experience across enterprise AI adoption, cloud modernization, regulated workloads, FinOps and production reliability, while mentoring engineers and partnering with architects to translate business requirements into robust AWS-based AI infrastructure solutions.

Key Responsibilities

Own end-to-end architecture and design of optimized AWS compute infrastructure for large-scale AI/ML systems, including distributed training, GPU/accelerated compute, container platforms and model-serving environments.

Design and tune large-scale AWS GPU clusters and distributed training systems using services such as EC2, EKS, SageMaker, S3, FSx/EFS, VPC, IAM and CloudWatch, including accelerator selection, interconnect/networking and high-throughput storage design.

Serve as an authoritative AI infrastructure expert on AWS, applying deep knowledge of AWS AI/ML services, accelerators, networ

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