Role Overview
NTTD Info Pro Ser Pte Ltd is hiring a mid-level AWS Data & AI Platform Engineer. This is a full-time role in Karnataka. Part of NTTD Info Pro Ser Pte Ltd's Risk hiring, posted 2 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Req ID: 373967
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, apply now.
We are currently seeking a AWS Data & AI Platform Engineer to join our team in Bengaluru, Hyderabad, Chennai, Karnātaka (IN-KA), 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 recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com 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 https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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.
Frequently Asked Questions
How do I apply for the AWS Data & AI Platform Engineer position at NTTD Info Pro Ser Pte Ltd?
Use the Apply button above to submit your application directly to NTTD Info Pro Ser Pte Ltd. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the AWS Data & AI Platform Engineer position at NTTD Info Pro Ser Pte Ltd located?
This position is based in Karnataka. NTTD Info Pro Ser Pte Ltd has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a AWS Data & AI Platform Engineer at NTTD Info Pro Ser Pte Ltd earn?
NTTD Info Pro Ser Pte Ltd has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the AWS Data & AI Platform Engineer role at NTTD Info Pro Ser Pte Ltd posted?
This role was posted on June 3, 2026 (2 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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