AWS AI Engineer

India T&M Special Bonus:

Req ID: 393407

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 AI Engineer to join our team in Bengaluru, Karnātaka (IN-KA), India (IN).

JD: AWS AI Engineer

We're looking for a hands-on Senior AI Engineer with a strong software engineering background to build, deploy and operate production-gradeAgentic AI and multi-agent solutions on AWS. You'll work from established designs, freely explore and experiment with new AI ideas, rapidly prototype/POC, and turn successful approaches into secure, scalable production solutions.

This is an engineering and delivery role, not an architecture role.

What You'll Do

Build and deploy multi-agent solutions using Python, LangGraph and LangChain; rapidly Prototype/POC and productions successful approaches.

Implement orchestration, tool calling, state/memory, checkpointing and Human-in-the-Loop (HITL); build and integrate MCP and A2A capabilities.

Develop RAG/LLM solutions integrated with enterprise APIs, data and business systems.

Build and operate on AWS using Amazon Bedrock and Amazon Bedrock AgentCore. Develop production APIs and integration services.

Implement automated testing, CI/CD, AI evaluation, guardrails, observability and security controls including IAM, least privilege, secrets management and secure tool/API access.

Troubleshoot and optimize live solutions for reliability, performance, latency and cost.

What You'll Bring

5+ years of software engineering, AI/ML engineering or related development experience, with strong Python software engineering skills.

Strong hands-on LangGraph/LangChain and proven production experience with Agentic AI and multi-agent systems.

Strong hands-on AWS, Amazon Bedrock and Amazon Bedrock AgentCore, plus MCP and A2A implementation experience.

Strong knowledge of RAG, LLMs, embeddings, vector search, tool calling, state/memory and HITL.

Experience with APIs/FastAPI, Docker, Git, CI/CD, automated testing, AI evaluation, guardrails, observability and production debugging.

Ability to quickly understand established designs and independently deliver production-quality solutions at pace.

Production Experience – Essential

Must have personally built, deployed and supported at least two production-grade multi-agent AI solutions.

POC, tutorial, certification or hackathon-only experience is not sufficient.

Team & Culture

Hands-on engineering, experimentation, knowledge sharing and continuous learning. You'll have the freedom to explore new Agentic AI technologies and ideas, share reusable patterns and help shape AI initiatives while maintaining strong security and production engineering standards.

Good to Have

Broader AWS services

• Terraform/CloudFormation
• Kubernetes/EKS
• OpenTelemetry/LangSmith
• SageMaker/MLflow
• Azure/GCP exposure
• Experience working in SAP environments or integrating AI solutions with SAP is a bonus.
  
  

Preferred AI Certifications

AWS Certified Generative AI Developer – Professiona

AWS Certified Machine Learning Engineer – Associate

Hands-on production experience takes priority over certifications.

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, @nttdatafed.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.

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