AI-Driven Enterprise Integration Architect

NVIDIA Gruppe

Santa Clara (CA)

On-site

USD 248,000 - 391,000

Full time

14 days+
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Job summary

NVIDIA seeks a Principal AI Workflow Engineer to craft, develop, and maintain AI-augmented integration solutions across enterprise systems. You will build a unified, scalable framework enabling secure, self-service connectivity with governed APIs and automated agent connectivity through MCP.

You’ll lead design for autonomous, adaptive integration across Ops, O2C, Planning, and multi-cloud environments, leveraging Codex, Claude Code, and n8n.

Qualifications

  • Bachelor’s/Master’s degree in CS or related engineering field.
  • 15+ years in enterprise integration with microservices and API patterns.
  • Experience with SAP S/4, IBP, Salesforce; API-First and Event-Driven Architecture.
  • Proficient in Java, Groovy, Python and automation tooling.
  • Strong knowledge of identity management and secure integrations.

Responsibilities

  • Develop roadmap for Enterprise Integration, API ecosystems, and AI-enabled orchestration.
  • Architect high-throughput, real-time integration platforms for large-scale systems.
  • Design intelligent integration solutions across Operations, O2C, Planning, and multi-cloud.
  • Collaborate with Product/Eng to translate data/compute needs into production-grade integrations.
  • Orchestrate autonomous, self-healing integration lifecycles with AI agents.

Skills

Enterprise integration
Microservices
API design
AI integration
Java
Python
PowerShell
Groovy
Git/Jenkins
IAM (SAML/JWT)
CI/CD tooling
Observability
n8n automation
EDI (EDIFACT/X12)

Education

Bachelor’s/Master in CS or Eng

Tools

SAP CPI/API-M/TPM
Codex/Claude Code
Datadog
Splunk
JFrog

Job description

NVIDIA seeks a Principal AI Workflow Engineer to craft, develop, and maintain AI-augmented integration solutions across enterprise systems. You will build a unified, scalable framework enabling secure, self-service connectivity with governed APIs and automated agent connectivity through MCP.

You’ll lead design for autonomous, adaptive integration across Ops, O2C, Planning, and multi-cloud environments, leveraging Codex, Claude Code, and n8n.

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