Senior AI Integration Architect

NTT DATA North America

Charlotte (NC)

Ibrido

USD 140.000 - 190.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

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.

Competenze

  • 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.

Mansioni

  • 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.

Conoscenze

AI integration
Enterprise architecture
DevSecOps
Security governance
Platform integration
Observability/Monitoring

Strumenti

Jira
Confluence
GitHub
GitHub Actions
Artifactory
Sonar
Checkmarx
Black Duck
JMeter
HyperExecute
Report Portal
BrowserStack
BlazeMeter
Harness
Ansible
ServiceNow
Splunk
AppDynamics

Descrizione del lavoro

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.

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