AI Infrastructure Architect

Join our team and be a part of building cutting-edge AI solutions on a robust and scalable infrastructure

Position Title: AI Infrastructure Architect

Location: San Francisco, California, United States

About the Role: We are seeking an experienced AI Infrastructure Architect to join our dynamic team. As the AI Infrastructure Architect, you will be responsible for designing, implementing, and maintaining the infrastructure that supports our AI applications and systems. You will work closely with our development and data science teams to ensure that our AI solutions are built on a robust and scalable infrastructure.

Key Responsibilities:

• Develop and implement the infrastructure strategy for our AI applications and systems.
• Design and build scalable, reliable, and high-performance infrastructure to support our AI solutions.
• Collaborate with cross-functional teams to understand the requirements of our AI applications and develop infrastructure solutions to meet those needs.
• Research and evaluate new technologies and tools to enhance our AI infrastructure.
• Monitor and troubleshoot the performance of our AI infrastructure, and implement necessary optimizations and improvements.
• Ensure that our AI infrastructure is secure, compliant, and follows best practices.
• Identify and resolve any infrastructure-related issues or bottlenecks that may impact the performance of our AI applications.
• Develop and maintain documentation for our AI infrastructure, including diagrams, configurations, and processes.
• Provide technical leadership and mentorship to junior members of the infrastructure team.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in infrastructure architecture, with a focus on AI solutions.
• Extensive experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of AI technologies, including machine learning, deep learning, and natural language processing.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Proficient in scripting and automation using languages such as Python, Bash, or PowerShell.
• Knowledge of infrastructure as code tools, such as Terraform or CloudFormation.
• Familiarity with database management and storage solutions for AI applications.
• Excellent problem-solving skills and the ability to troubleshoot complex issues.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Proven track record of designing and implementing complex, scalable, and secure infrastructure solutions.

If you are passionate about AI and have a strong background in infrastructure architecture, we would love to hear from you. Apply now and take the next step in your career as an AI Infrastructure Architect.