V
AI Engineering Architect
Virtual Vocations Inc
3 hours ago
Full-time
On-site
East New York, New York, United States
Designing and optimizing scalable infrastructure for advanced AI solutions, the full-time AI Engineering Architect will utilize Terraform in a hybrid work model to create secure and cost-effective platforms for global finance and accounting stakeholders.
Key Responsibilities
Design robust infrastructure blueprints for scalable AI platform deployment using Terraform and cloud-native practices Coordinate end-to-end infrastructure lifecycle activities, ensuring AI applications meet performance and cost targets Guide cross-functional teams in adopting infrastructure as code practices, integrating monitoring and logging capabilities into AI infrastructure stacks
Required Qualifications
Over fifteen years of experience in infrastructure engineering or architecture with a focus on automation and scalable design Deep hands-on expertise in Terraform-based infrastructure as code, including module design and state management Solid understanding of AI and data platform requirements, including compute-intensive workloads and data pipelines Knowledge of finance and accounting processes to shape infrastructure solutions that support data sensitivity Proficiency in hybrid delivery models and collaboration tools for maintaining productivity across distributed teams
Design robust infrastructure blueprints for scalable AI platform deployment using Terraform and cloud-native practices Coordinate end-to-end infrastructure lifecycle activities, ensuring AI applications meet performance and cost targets Guide cross-functional teams in adopting infrastructure as code practices, integrating monitoring and logging capabilities into AI infrastructure stacks
Required Qualifications
Over fifteen years of experience in infrastructure engineering or architecture with a focus on automation and scalable design Deep hands-on expertise in Terraform-based infrastructure as code, including module design and state management Solid understanding of AI and data platform requirements, including compute-intensive workloads and data pipelines Knowledge of finance and accounting processes to shape infrastructure solutions that support data sensitivity Proficiency in hybrid delivery models and collaboration tools for maintaining productivity across distributed teams