NTT DATA seeks a talented AI Engineer specializing in AWS to develop and deploy cutting-edge Agentic AI and multi-agent solutions. This role emphasizes hands-on software development and the transformation of AI concepts into robust, production-ready applications.

Join an innovative and inclusive team dedicated to accelerating client success and positively impacting society through responsible technology. As a global leader in AI and digital infrastructure, NTT DATA offers unparalleled opportunities for growth and advancement in the digital future.

Key responsibilities include building and deploying Agentic AI and multi-agent solutions using Python, LangGraph, and LangChain. You will develop proof-of-concepts, transitioning successful approaches into production environments. This involves implementing orchestration, state/memory management, checkpointing, HITL, MCP, and A2A capabilities.

Develop RAG and LLM-based solutions integrated with enterprise applications and data platforms. Operate AI services utilizing AWS, Amazon Bedrock, and AgentCore, while building production APIs and integration services. Implement automated testing, CI/CD pipelines, AI evaluation, guardrails, observability, and security controls.

Optimize production solutions for performance, reliability, scalability, latency, and cost-efficiency. Collaborate with teams to share best practices and AI engineering innovations. Provide expert consulting and technical guidance on Agentic AI implementation and adoption.

The ideal candidate possesses over 5 years of experience in Software Engineering or AI/ML Engineering. Essential skills include strong Python software engineering, hands-on experience with LangGraph, LangChain, Agentic AI, and multi-agent systems.

Demonstrated experience with AWS, Amazon Bedrock, AgentCore, MCP, and A2A is crucial. A solid understanding of RAG, LLMs, embeddings, vector search, tool calling, state/memory management, and HITL is required. Experience with FastAPI, APIs, Docker, Git, CI/CD, automated testing, AI evaluation, guardrails, observability, and production support is necessary.

Proven experience in building, deploying, and supporting at least two production-grade multi-agent AI solutions is mandatory. Production experience is essential; tutorial or POC-only experience is insufficient. Candidates should be able to independently deliver high-quality production solutions from established designs.