Senior AI Integration Architect

NTT DATA North America; Charlotte (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

NTT DATA North America in Charlotte, NC is seeking an AI Integration Engineer to provide hands-on technical leadership for architecture, integration, governance, and operationalization of enterprise AI engineering platforms.

The role drives AI-enabled transformation across the end-to-end SDLC, with experience integrating AI coding assistants, MCP services, and DevSecOps tooling across SaaS and on-premises environments.

Qualifications

• Experience leading AI-enabled engineering platforms and architecture.
• Deep understanding of end-to-end SDLC and CI/CD in large enterprises.
• Familiarity with Model Context Protocol (MCP) and AI tooling.
• Knowledge of security controls, governance, and regulatory requirements.

Responsibilities

• Provide hands-on leadership for architecture, integration, governance, and operationalization of enterprise AI engineering platforms.
• Lead the integration of AI coding assistants, MCP services, and DevSecOps tooling across SaaS and on-premises environments.
• Guide enterprise patterns for security, compliance, and observability across the AI enablement lifecycle.
• Collaborate with stakeholders to ensure scalability, reliability, and modernization roadmaps.

Skills

AI integration

Enterprise architecture

DevSecOps

Security governance

Platform integration

Observability/Monitoring

Tools

Jira

Confluence

GitHub

GitHub Actions

Artifactory

Sonar

Checkmarx

Black Duck

JMeter

HyperExecute

Report Portal

BrowserStack

BlazeMeter

Harness

Ansible

ServiceNow

Splunk

AppDynamics

Job description

NTT DATA North America in Charlotte, NC is seeking an AI Integration Engineer to provide hands-on technical leadership for architecture, integration, governance, and operationalization of enterprise AI engineering platforms.

The role drives AI-enabled transformation across the end-to-end SDLC, with experience integrating AI coding assistants, MCP services, and DevSecOps tooling across SaaS and on-premises environments.