Why This Role Stands Out
Advance your career as an AWS Data & AI Platform Engineer at NTT DATA, a global innovator, where you'll design and operate cutting-edge AI platforms on AWS, offering exciting remote flexibility and a competitive hourly rate. This role is perfect for experienced engineers passionate about building secure, scalable AI solutions and driving generative AI advancements in regulated industries. Apply today to join a forward-thinking team and shape the future of AI.
Quick Overview
Job Description
About the Company
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an an inclusive, adaptable, and forward-thinking organization, apply now. NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.
Job Description
Seeking an experienced AI Platform Engineer to build and operate secure, scalable AI platforms on AWS for regulated financial services environments. This role focuses on enabling generative AI and advanced analytics use cases while meeting high standards for security, compliance, reliability, and operational excellence.
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
Compensation
The starting hourly range for this remote role is ($65.00 - $80.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
Contact Information
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
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