AI Infrastructure Architect

InfyStrat is on the lookout for a seasoned AI Infrastructure Architect to spearhead our AI infrastructure initiatives. In this pivotal role, you will be responsible for designing and implementing robust infrastructure solutions that support our AI and machine learning projects. You will collaborate closely with data teams, software engineers, and other stakeholders to optimize performance and ensure the scalability of our AI systems. The ideal candidate is highly motivated and possesses advanced knowledge of cloud infrastructure, data management, and AI application development. At InfyStrat, we foster an environment of innovation and dedication, and we are eager to find someone who shares our vision for building cutting-edge technology solutions.

Responsibilities

• Design and deploy efficient AI infrastructure to support data processing and machine learning workloads.
• Evaluate and select optimal technology stacks for AI applications and ensure high performance.
• Collaborate with AI and data teams to architect solutions that meet analytical and operational needs.
• Implement cost-effective cloud solutions to enhance AI project scalability.
• Monitor infrastructure performance and troubleshoot issues, optimizing resources as needed.
• Stay informed about trends in AI hardware and infrastructure solutions.
• Document architectural frameworks and guidelines to promote best practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related fields; a Master's degree is a plus.
• 8+ years of experience in IT infrastructure architecture, particularly with AI and machine learning.
• Strong knowledge of cloud platforms and services (e.g., AWS, Azure, GCP) tailored for AI workloads.
• Experience with container-based solutions and orchestration tools (e.g., Kubernetes, Docker).
• Proficiency in programming or scripting languages such as Python, Java, or Bash.
• Exceptional problem-solving skills and ability to work under pressure.
• Excellent communication skills to articulate technical concepts clearly.
• Relevant certifications in AI infrastructure or cloud architecture preferred.