AI Infrastructure Architect

About the role

AI Powered Tech Talent team at Accenture designs and builds custom AI infrastructure solutions. The architect defines Azure AI/ML compute, storage, networking, and orchestration standards, creates cost‑optimized GPU clusters, and guides senior architects to deliver production‑ready AI systems. Bengaluru, India, On-site, Full-time.

What you’ll do

• Define Azure AI infrastructure vision and reference architecture
• Lead architectural decisions across compute, networking, storage, and orchestration services
• Prototype cost‑optimized GPU compute environments and benchmarks
• Create reusable IaC patterns, CI/CD pipelines, and monitoring strategies
• Conduct architecture assessments, design reviews, and performance tuning
• Evaluate emerging AI hardware and services for enterprise adoption
• Provide executive technical advisory and translate trade‑offs to business outcomes
• Mentor architects and promote best practices within the practice

What you’ll bring

• 15 years of experience in AI/ML infrastructure
• 6+ years designing Azure AI services (VMs, AKS, Azure ML)
• Proficiency in Python, Java, C++ or scripting
• Experience with Terraform/Bicep, CI/CD, Docker, Kubernetes
• Knowledge of MLOps/InfraOps practices
• Familiarity with data pipeline tools like Airflow or Kubeflow
• Strong project management and communication skills

Skills

Education

Bachelor's degree in Computer Science or related field