AI Infrastructure Architect (AWS AI Services | AWS Cloud Architecture)

About the role

We are seeking a highly experienced AI Infrastructure Architect to design, build, and govern scalable, secure, resilient, and cost-efficient AI platforms across AWS, Microsoft Azure, and Google Cloud Platform. The role will lead end-to-end architecture for AI/ML workloads, including data platforms, model training, fine-tuning, inference, MLOps, GPU infrastructure, observability, security, and governance for enterprise and production-grade use cases.

What you'll do

• Lead the design of end-to-end AI infrastructure for model experimentation, training, fine-tuning, inference, deployment, monitoring, and ongoing operations
• Architect scalable platforms for batch and real-time ML workloads, LLM-based solutions, Generative AI pipelines, and enterprise AI applications
• Define standards for model experimentation, versioning, registry, promotion, lifecycle management, and retirement
• Create reusable reference architectures, blueprints, guardrails, and design patterns for AI workloads
• Ensure platforms meet scalability, availability, performance, disaster recovery, and operational requirements

What you need

• 12–22 yrs of experience
• AWS
• LLMs
• Machine learning
• MLOps
• Research
• GCP
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Azure
• Kubernetes
• Terraform
• IAM
• CI/CD
• Data privacy