Principal AI Workflow Engineer

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 248,000 - 391,000 annuallyFunction: Data Science & Machine LearningExperience: 15+ yearsEducation: mastersSkills: ["Collaboration","Architecting","Innovation","Problem-solving"]

Build and evolve an enterprise Unified Integration Framework that enables secure, developer self-service connectivity across systems and applications. Lead roadmap and architecture for high-throughput, real-time, event-driven integration platforms enhanced with agentic AI automation for autonomous orchestration, testing, self-healing, and proactive alerting. Deliver context-aware integrations across Order-to-Cash and Planning in multi-cloud and support SAP and non-SAP ecosystems using APIs, event patterns, EDI, and secure identity/access controls.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 week ago

Principal AI Workflow Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and evolve an enterprise Unified Integration Framework that enables secure, developer self-service connectivity across systems and applications. Lead roadmap and architecture for high-throughput, real-time, event-driven integration platforms enhanced with agentic AI automation for autonomous orchestration, testing, self-healing, and proactive alerting. Deliver context-aware integrations across Order-to-Cash and Planning in multi-cloud and support SAP and non-SAP ecosystems using APIs, event patterns, EDI, and secure identity/access controls.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop roadmap and integration framework for Enterprise Integration, B2B, and API ecosystems with agentic AI capabilities for autonomous, adaptive integration strategies.
  • •Architect and deliver high-throughput, real-time integration platforms using event-driven, asynchronous, and AI-augmented orchestration for large-scale distributed systems.
  • •Design context-aware integration solutions for complex business processes across Operations, Order-to-Cash, Planning, and multi-cloud environments using AI-driven decisioning and automation.
  • •Collaborate with Product and Engineering teams to translate data and compute needs into production-grade integration systems with intelligent algorithms and autonomous workflows.
  • •Orchestrate autonomous closed-loop integration lifecycles including self-monitoring, self-healing, continuous testing, adaptive updates, and proactive alerting via agentic automation.

Pay and Benefits

Salary: USD 248,000 - 391,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s/Master’s degree or equivalent experience in Computer Science or related Engineering.
  • •15+ years of enterprise integration experience with microservices, integration patterns, and reusable frameworks across heterogeneous systems and partner ecosystems.
  • •Experience across the API lifecycle (design, build, governance, management) including AI-enabled API orchestration and intelligent routing.
  • •Strong distributed integration experience with SAP S/4, IBP, Salesforce, and similar SaaS/cloud applications using API-first and event-driven architecture.
  • •Strong programming/scripting skills (Java, Groovy, Python, PowerShell) plus CI/CD (Git, Jenkins, JFrog) and observability (Datadog, Splunk), along with identity/access control knowledge.
Experience:15+ yearsEnterprise integrationMicroservicesAPI ecosystemsAgentic AISAPEDIMulti-cloudEvent-driven architectureDistributed systems
Education:Master's
Skills:CollaborationArchitectingInnovationProblem-solving
Tech Stack:CodexClaude CodeN8nMCPSAP Integration SuiteSAP CPIAPI-MTPMMicroservicesRESTGraphQLSOAPJavaGroovyPythonPowerShellSAP S/4SAP IBPSalesforceEDI

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor