Job Description

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. - Strong 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