AWS AI Engineer

Responsibilities

Build, deploy, and operate production-grade Agentic AI and multi-agent solutions using AWS and Python. Implement orchestration, RAG, and LLM integrations while ensuring system reliability, security, and performance.

Requirements

Requires 5+ years of software engineering experience with strong proficiency in Python and AWS. Must have hands-on production experience building and deploying at least two multi-agent AI solutions.

Skills

• Python
• AWS
• Amazon Bedrock
• LangGraph
• LangChain
• Agentic AI
• Multi-agent systems
• RAG
• LLMs
• FastAPI
• Docker
• CI/CD
• Automated testing
• Observability
• IAM
• Vector search

About this role

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-grade Agentic 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.
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.

About NTT DATA Services

IT Services and IT Consulting · 10,001+ employees · headquartered in Plano, Texas