Role Description AWS AI Services AWS Cloud Architecture
Role Summary
We are looking for a highly experienced AI Infrastructure Architect to design build and govern scalable secure and costefficient AI platforms across AWS Azure and GCP This role will lead the endtoend architecture for AIML workloadsincluding data platforms model training inference MLOps and GPU infrastructuresupporting both enterprise and productiongrade AI use cases The ideal candidate combines deep cloud infrastructure expertise handson AIML platform knowledge and enterprise architecture leadership across multicloud environments
Key Responsibilities
AI ML Infrastructure Architecture
Lead the design of endtoend AI infrastructure for model training finetuning inference and monitoring
Architect scalable platforms for
Batch and realtime ML workloads
LLMbased architectures and GenAI pipelines
Model experimentation versioning and lifecycle management
Define reference architectures and reusable patterns for AI workloads
MultiCloud Platform Design AWS Azure GCP
Architect cloudagnostic and cloudnative AI platforms across
AWS SageMaker EKS EC2 GPU S3 IAM
Azure Azure ML AKS Azure OpenAI GPU VM series
GCP Vertex AI GKE TPUGPU infrastructure
Enable workload portability resilience and vendor strategy alignment
Define hybrid and multicloud AI operating models
MLOps DevOps Platform Engineering
Establish MLOps frameworks for CICD of ML models pipelines and features
Design automation for
Model lifecycle management
Continuous training and deployment
Monitoring drift detection and observability
Integrate AI pipelines with enterprise DevOps standards
Data Compute Architecture
Design scalable data ingestion feature stores and training datasets