AWS AI Engineer

NTT DATA

5+ yrs Bengaluru Full Time Hybrid (office + remote)
NTT DATA logo
Posted : today
Actively hiring

Job description

Join NTT DATA as a Senior AI Engineer, focusing on building and deploying advanced Agentic AI and multi-agent solutions within the AWS ecosystem. This role emphasizes hands-on engineering and delivery, not architectural design.

You'll have the opportunity to explore cutting-edge AI concepts, rapidly prototype new ideas, and transform successful experiments into robust, scalable production systems. We foster a culture of continuous learning and knowledge sharing, empowering you to experiment with new technologies and shape future AI initiatives while upholding stringent production and security standards.

Responsibilities

Develop and deploy multi-agent solutions using Python, LangGraph, and LangChain, with a focus on rapid prototyping and successful production implementation. Implement core functionalities like orchestration, tool calling, state/memory management, checkpointing, and Human-in-the-Loop (HITL) processes. Integrate MCP and A2A capabilities. Build and operate solutions on AWS, leveraging Amazon Bedrock and Amazon Bedrock AgentCore. Develop production-ready APIs and integration services. Establish automated testing, CI/CD pipelines, AI evaluation frameworks, guardrails, observability, and security controls, including IAM and secrets management. Troubleshoot and optimize live solutions for performance, reliability, latency, and cost-effectiveness.

Qualifications

A strong software engineering background with 5+ years of experience in AI/ML engineering or related development, specifically in Python. Proven hands-on experience with LangGraph/LangChain and production deployment of Agentic AI and multi-agent systems is essential. Expertise in AWS, Amazon Bedrock, Amazon Bedrock AgentCore, and practical experience implementing MCP and A2A. Solid understanding of RAG, LLMs, embeddings, vector search, tool calling, state/memory, and HITL concepts. Familiarity with APIs/FastAPI, Docker, Git, CI/CD, automated testing, AI evaluation, guardrails, observability, and production debugging. Demonstrated ability to quickly grasp established designs and independently deliver high-quality production solutions.

Essential Skills

PythonLangGraphLangChainAgentic AIMulti-agent SystemsAWSAmazon BedrockAmazon Bedrock AgentCoreRAGLLMsEmbeddingsVector SearchTool CallingState ManagementHuman-in-the-Loop (HITL)APIsFastAPIDockerGitCI/CDAutomated TestingAI EvaluationGuardrailsObservabilityProduction DebuggingMCPA2A

Good to Have

TerraformCloudFormationKubernetesEKSOpenTelemetryLangSmithSageMakerMLflowAzureGCPSAP Integration

Highlights

  • Actively hiring

More Details

RoleAWS AI Engineer
DepartmentSoftware Development, AI / Machine Learning
Employment TypeFull Time, Hybrid (office + remote)

About the Company

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NTT DATA

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AWS AI Engineer at NTT DATA | SkillMX | SkillMX