AI Infrastructure Architect

About the role

AI Infrastructure Architecture team at Accenture designs and builds enterprise AI/ML compute platforms. The architect defines Azure AI infrastructure strategy, creates reference architectures, and leads implementation of GPU‑accelerated, scalable solutions while guiding senior architects and ensuring cost, security, and performance goals. Bengaluru, On-site, Full-time

What you’ll do

• Define Azure AI infrastructure vision, strategy, and reference architecture
• Architect and prototype cost‑optimized GPU compute and distributed training environments
• Create reusable IaC patterns, CI/CD pipelines, and monitoring strategies
• Lead architecture assessments, design reviews, and performance tuning
• Evaluate emerging AI hardware and services for enterprise adoption
• Provide executive‑level technical advisory and business impact analysis
• Mentor architects and build community best practices
• Represent practice in internal and external technical forums

What you’ll bring

• Bachelor's degree in Computer Science or related field
• Minimum 6 years designing, building, and operating AI/ML infrastructure on Azure
• Proficiency in Python, Java, C++, Bash or PowerShell
• Experience with Azure services: VMs, AKS, Machine Learning, Storage, Virtual Network, Entra ID, Monitor, DevOps
• Hands‑on with Bicep/ARM/Terraform, CI/CD, Docker, Kubernetes
• Knowledge of GPU/accelerated compute, distributed training, model serving
• Familiarity with data pipeline tools like Airflow or Kubeflow
• Strong project management and stakeholder communication

Skills

Education

Bachelor's degree