GenAI Engineer: Enterprise AI & MLOps (Onsite DC)

NTT DATA, Europe & LATAM, Branch in USA, Inc.; Washington (District of Columbia); On-site; USD 90,000 - 106,000; Full time

Job summary

NTT DATA is seeking a GenAI Engineer to design, build, and manage AI/ML solutions across enterprise environments. The role emphasizes scalable, secure, and governance-aligned GenAI workloads with RAG and LLM pipelines.

Key responsibilities include building agent-based architectures, developing with LangChain/LangGraph/Semantic Kernel, and implementing MLOps practices. The candidate will collaborate with data engineers, security teams, and business stakeholders.

Qualifications

• Experience designing and deploying AI/ML solutions in enterprise environments.
• Strong knowledge of generative AI workloads, RAG, and LLM pipelines.
• Hands-on with Azure AI services and MLOps practices.

Responsibilities

• Design, build, and deliver end-to-end AI/ML solutions from prototyping to production.
• Build agent-based architectures using LangChain, LangGraph, Semantic Kernel, and MCP patterns.
• Implement CI/CD, monitoring, and governance for ML/LLM workloads.

Skills

AI/ML design

LLM integration

Prompt engineering

Agile teamwork

Cross-functional collaboration

Tools

Azure AI Foundry

Azure OpenAI

Azure Machine Learning

LangChain

LangGraph

Semantic Kernel

MCP-style agent patterns

Job description

NTT DATA is seeking a GenAI Engineer to design, build, and manage AI/ML solutions across enterprise environments. The role emphasizes scalable, secure, and governance-aligned GenAI workloads with RAG and LLM pipelines.

Key responsibilities include building agent-based architectures, developing with LangChain/LangGraph/Semantic Kernel, and implementing MLOps practices. The candidate will collaborate with data engineers, security teams, and business stakeholders.