Role Overview

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.

The ideal candidate combines deep cloud infrastructure expertise, hands-on AI/ML platform knowledge, and robust enterprise architecture leadership across multi-cloud environments.

Key Responsibilities AI/ML Infrastructure Architecture

· 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.

Multi-Cloud Platform Design: AWS, Azure & GCP

· Architect cloud-native and cloud-agnostic AI platforms across AWS SageMaker, EKS, EC2 GPU, S3 and IAM; Azure Machine Learning, AKS, Azure OpenAI and GPU VM series; and GCP Vertex AI, GKE and TPU/GPU infrastructure.

· Define workload placement principles based on capability, security, latency, resilience, portability, cost, and strategic vendor alignment.

· Enable workload portability and standardized operating practices across cloud environments.

· Define hybrid and multi-cloud AI operating models, including connectivity, identity, observability, governance, and disaster recovery.

MLOps,

📌 AI Infrastructure Architect (Coimbatore)
🏢 LTM
📍 Coimbatore