AWS Data and AI Platform Engineer

NTT DATA Global Delivery Services Ltd; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

NTT DATA Global Delivery Services Ltd in Hyderabad, Telangana (IN) is seeking a Data Senior Engineer to design, build, and operate AI platforms on AWS. The role focuses on generative AI capabilities and scalable analytics while ensuring security and regulatory compliance.

You will work with Bedrock, EKS, Lambda, and data services to support end-to-end AI pipelines in a regulated financial services environment. Experience with cloud-native architectures is essential.

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).

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

Python programming

Amazon Bedrock

EKS/Kubernetes

AWS Lambda

AWS networking

System design

Regulated environments

Generative AI

Data security

CI/CD

Tools

Terraform

CloudFormation

CDK

Job description

Data Senior Engineer Req ID: 373968

Hyderabad, Telangana (IN-TG), India (IN).

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization. We are currently seeking a Data Senior Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). We are 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.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you’d like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Experience Level

Senior Level