AWS Data & AI Platform Engineer

About the role

NTT DATA's Client is currently seeking an AWS Data & AI Platform Engineer to join our team in Charlotte, North Carolina (US-NC), United States (US). This is a hybrid role focused on building and operating secure, scalable AI platforms on AWS for regulated financial services environments.

Responsibilities

• Design, build, and support AI platforms on AWS using Amazon Bedrock for generative AI and model integration
• Develop and operate containerized AI services on Amazon EKS, supporting Python‐based inference and orchestration workloads
• Build serverless AI workflows using AWS Lambda, API Gateway, and event‐driven architectures
• Implement secure cloud networking and access controls using VPC, IAM, private endpoints, and service networking
• Integrate data services (S3, DynamoDB, messaging/streaming) to support AI pipelines and RAG‐style architectures
• Establish CI/CD, monitoring, logging, and operational controls aligned to enterprise and regulatory standards
• Partner with security, architecture, and risk teams to ensure compliance with financial services requirements

Required Qualifications

• 5+ years of experience building cloud platforms on AWS
• Hands‐on experience with Amazon Bedrock, EKS/Kubernetes, AWS Lambda, and core AWS networking
• Strong Python development experience for APIs, AI services, or automation
• Experience designing secure, highly available, and scalable systems
• Familiarity with regulated environments (financial services, banking, insurance, or similar)

Preferred Qualifications

• Experience supporting AI/ML or generative AI platforms in production
• Knowledge of data security, model governance, auditability, and access controls
• Experience with Infrastructure as Code (Terraform, CloudFormation, or CDK)
• Exposure to CI/CD pipelines and production operations in enterprise environments