Senior Cloud Infrastructure Architect at DataArt

Client

Our client is a leading Fortune 500 financial technology company that provides comprehensive payment solutions and financial services across multiple continents. They process billions of transactions annually and serve millions of customers worldwide.

Team

You'll collaborate with a world-class team of senior data scientists, ML engineers, and technology consultants from leading organizations in the fintech and cloud computing space. This diverse group brings together deep technical expertise, industry knowledge, and proven experience delivering mission-critical solutions at enterprise scale.

Position overview

We are seeking an experienced Senior Cloud Infrastructure Architect with deep expertise in AI/ML infrastructure implementations. This role is designed for seasoned cloud architecture professionals who have successfully designed and deployed enterprise-scale AI environments - not for those simply exploring cloud technologies

Technology stack

AWS Bedrock, SageMaker, and comprehensive AI/ML service ecosystem

Vector databases and advanced RAG architectures

Enterprise-scale data processing and real-time model deployment systems

Automated CI/CD pipelines specifically designed for ML workflows

Responsibilities

• Design and architect AI/ML environments using AWS Bedrock, SageMaker, and vector database infrastructure
• Implement enterprise-grade networking solutions for AI workloads and data processing pipelines
• Architect and deploy database and storage solutions optimized for GenAI applications
• Develop Infrastructure as Code (IaC) using Terraform and CloudFormation for AI platform deployment
• Design and implement serverless architectures supporting scalable AI/ML workflows
• Establish security best practices and compliance frameworks for AI infrastructure
• Optimize performance and tuning of AI environments for enterprise-scale operations
• Ensure high availability, disaster recovery, and scalability of AI platform infrastructure

Requirements

• Hands-on experience architecting and deploying AI environments using AWS Bedrock, SageMaker, and vector databases
• Advanced knowledge of cloud networking concepts, VPC design, and secure connectivity for AI workloads
• Proven experience with database and storage deployments optimized for AI/ML applications and large-scale data processing
• Deep understanding of security best practices and implementation in regulated financial services environments
• Proficiency in developing IaC solutions using Terraform and CloudFormation for AI platform automation
• Hands-on experience architecting and deploying serverless solutions supporting AI/ML workflows
• Demonstrated skills in performance tuning and optimization of cloud environments at enterprise scale
• Proven track record of designing and managing mission-critical AI infrastructure in production environments
• Minimum 7+ years cloud infrastructure experience with 3+ years dedicated AI/ML infrastructure architecture experience
• Availability during US Eastern Time (ET) business hours to collaborate with onsite team

Nice to have

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related technical field (Master's preferred)
• AWS certifications (Solutions Architect Professional, Security Specialty, etc.)
• Experience with financial services infrastructure and compliance requirements
• Knowledge of regulatory frameworks (PCI DSS, SOX, etc.) and their infrastructure implications