AWS AI Platform Engineer – GenAI, Secure Cloud (Hybrid)

NTT DATA, Inc.; Charlotte (NC); On-site; USD 90,000 - 103,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401k program

Employee assistance

Job summary

NTT DATA is seeking an experienced AI Platform Engineer to build and operate secure, scalable AI platforms on AWS for regulated financial services environments, with a focus on enabling generative AI and advanced analytics use cases while meeting high standards for security, compliance, reliability, and operational excellence.

In Charlotte, NC, this hybrid role requires 5+ years of cloud experience and hands‑on expertise with Bedrock, EKS, Lambda and core AWS networking, plus strong Python API

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.

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.

Skills

AWS Cloud Platforms

Amazon Bedrock

EKS/Kubernetes

Python APIs

Security & Compliance

Regulated Environments

Tools

Terraform

CDK

Job description

NTT DATA is seeking an experienced AI Platform Engineer to build and operate secure, scalable AI platforms on AWS for regulated financial services environments, with a focus on enabling generative AI and advanced analytics use cases while meeting high standards for security, compliance, reliability, and operational excellence.

In Charlotte, NC, this hybrid role requires 5+ years of cloud experience and hands‑on expertise with Bedrock, EKS, Lambda and core AWS networking, plus strong Python API