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 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As an AI Infrastructure Architect, you will engage in the design and construction of tailored 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 provide expert advice on AI infrastructure technology, including vendor evaluation and selection, ensuring seamless full-stack integration to meet organizational needs. 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 an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor industry trends and emerging technologies to inform strategic decisions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Architecture. - Experience with cloud computing platforms and services. - Strong understanding of AI infrastructure components and their integration. - Familiarity with performance optimization techniques for AI workloads. - Knowledge of cost management strategies in cloud environments. - 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 12 years of experience in Microsoft Azure Architecture. - This position is based at our Bengaluru office. - A 15 years full time education is required.
Bengaluru
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