Role Description The AI Infrastructure Architect is a full time, in office role based in Abroad. This role is responsible for designing, implementing, and optimizing AI infrastructure to support data-intensive applications and scalable machine learning workloads. Day-to-day tasks include developing solution architectures for AI platforms, managing high-availability systems, collaborating with data scientists and engineers to integrate models into production, and ensuring secure and efficient networking across environments.

The AI Infrastructure Architect will also monitor system performance, oversee capacity planning, enforce best practices for system administration, and contribute to technology roadmaps aligned with business goals.

Qualifications

Candidates should possess strong infrastructure skills, including experience with servers, storage, cloud platforms, and scalable compute environments.

Candidates should possess solution architecture and architecture skills to design robust, secure,



and high-performing AI and data platforms.

Candidates should possess networking skills, covering routing, switching, security, and connectivity across on-premises and cloud settings.

Candidates should possess system administration skills, including operating system management, automation, monitoring, and troubleshooting.

Experience with AI/ML workflows, containerization (Docker, Kubernetes), and CI/CD pipelines is highly beneficial.

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Ability to collaborate with cross-functional teams, communicate technical concepts clearly, and document architectures and standards.

Familiarity with security best practices, compliance requirements, and performance optimization in distributed systems is a plus.

📌 Ai Infrastructure Architect Bengaluru (India)
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📍 India