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# AI Platform & Integration Engineer - Agent Gateway & AI

- **Company:** NTT DATA, Inc.
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, User Authentication, Automation of Tests, Cloud Computing, Cloud Engineering, Continuous Integration, Interoperability, Python (Programming Language), Key Management, Object-Oriented Software Development, Software Configuration Management, Web Services, Data Logging, Istio, Delivery Pipeline, Large Language Models, Software Security, Build Management, AI Platforms, Kubernetes, Information Technology, Api Gateway, Restful APIs, Api Management
- **Published:** August 29, 2026
- **Apply:** https://www.beyondcharlotte.com/job.asp?id=3369515336&tx=YT1313TTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Python and object-oriented software development.

REST APIs, API gateways, web services, and SDK design.

MCP, agent interoperability, and integration architecture.

Authentication, authorization, identity, and policy controls.

CI/CD, automated testing, and source-code management.

Observability, tracing, logging, and production support.

Containers, Kubernetes, and cloud-native engineering.

Secure software-development practices.

Preferred Qualifications

Degree in computer science, engineering, or a related field.

Experience with LLM gateways, agent platforms, service mesh, or API-management products.

Cloud, Kubernetes, security, or API certification.

## Description

The Platform and Integration Engineer will build governed model-routing services, agent-to-agent and Model Context Protocol connectivity, SDK migration utilities, reusable enterprise integrations, and automated controls for production AI adoption.

Key Responsibilities

Design and build model gateways, intelligent routing services, and reusable integration components.

Implement agent-to-agent and MCP-based connectivity patterns.

Develop SDKs, migration utilities, APIs, adapters, and reference implementations.

Integrate authentication, authorization, secrets management, policy enforcement, and audit controls.

Build automated tests, CI/CD pipelines, deployment workflows, and release controls.

Implement telemetry, tracing, metrics, logging, and operational dashboards.


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