Project Role AI Infrastructure Architect Project Role Description Architect and build custom Artificial Intelligence AI infrastructure hardware solutions Optimize AI infrastructure hardware performance power consumption cost and scalability of computational stack Advise on AI infrastructure technology and vendor evaluation selection and full stack integration Must have skills Microsoft Azure Architecture Good to have skills NA Minimum 15 year s of experience is required Educational Qualification 15 years full time education Summary As an AI Infrastructure Architect you will be responsible for architecting and building custom Artificial Intelligence infrastructure and hardware solutions Your typical day will involve optimizing the performance power consumption cost and scalability of the computational stack You will also engage in advising on AI infrastructure technology evaluating vendors and ensuring full stack integration to meet the evolving needs of the organization Infrastructure Architecture Design - Design cloud-native and hybrid infrastructure with scalability security and cost-efficiency - Define standards for compute Including Kubernetes storage networking and orchestration layers Automation Orchestration - Implement Infrastructure-as-Code IaC using tools like Terraform - Automate provisioning scaling and lifecycle management of infrastructure resources Observability Reliability - Design monitoring logging and alerting frameworks for proactive issue detection - Ensure high availability disaster recovery and fault tolerance Security Compliance - Apply defense-in-depth principles RBAC IAM encryption network segmentation Cost Resource Management - Optimize infrastructure spend through rightsizing and reserved instances - Monitor usage and enforce quotas Roles Responsibilities - Expected to be a Subject Matter Expert with deep knowledge and experience - Should have influencing and advisory skills - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Expected to provide solutions to problems that apply across multiple teams - Facilitate workshops and discussions to gather requirements and align on infrastructure strategies - Continuously assess and recommend improvements to existing AI infrastructure to enhance performance and efficiency Professional Technical Skills - Must To Have Skills Proficiency in Microsoft Azure Architecture - Experience with cloud computing platforms and services - Solid understanding of AI and machine learning frameworks - Knowledge of hardware components and their integration in AI solutions - Familiarity with performance optimization techniques for AI workloads - Strong expertise in ONE OF cloud platforms AWS Azure GCP Oracle Cloud - Proficiency in IaC tools Terraform Ansible Native CLI s like AZCLI GCPCloud AWSCLI - Experience with container orchestration Kubernetes Docker - Knowledge of observability stacks Prometheus Grafana ELK OpenTelemetry - Familiarity with security frameworks and zero-trust architectures - Familiarity with Enterprise networking storage and virtualization Additional Information - The candidate should have minimum 15 years of experience in Microsoft Azure Architecture - This position is based at our Bengaluru office - A 15 years full time education is required 15 years full time education

📌 Ai Infrastructure Architect (Karnataka)
🏢 Accenture
📍 Karnataka