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Principal AI Workflow Engineer

NVIDIA· Engineer, SW
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Santa Clara, CA$248k - $391kFull-timePosted 1mo ago

About the role

Principal AI Workflow Engineer to join NVIDIA's Enterprise Integration and API Team, building a developer-centric Unified Integration Framework with agentic AI capabilities to enable secure, self-service connectivity and AI-driven automation across enterprise systems and applications.

Responsibilities

  • Develop roadmap and framework for Enterprise Integration, B2B, and API ecosystems, embedding agentic AI capabilities to enable autonomous, adaptive, and self-optimizing integration strategies across the enterprise.
  • Architect and deliver high-throughput, real-time integration platforms using event-driven, asynchronous, and AI-augmented orchestration patterns to support large-scale, distributed systems.
  • Design intelligent, context-aware integration solutions for complex business processes across Operations, Order-to-Cash, Planning, and multi-cloud environments (IaaS, PaaS, SaaS), incorporating AI-driven decisioning and automation.
  • Collaborate with Product and Engineering teams to understand evolving data and compute needs in software, hardware, automotive, and AI; implement intelligent algorithms and autonomous workflows into production-grade integration systems.
  • Orchestrate autonomous, closed-loop integration lifecycles with self-monitoring, self-healing, continuous testing, adaptive updates, and proactive alerting through agentic automation.

Qualifications

  • Bachelor’s/Master’s degree or equivalent experience in Computer Science or related Engineering Degree.
  • 15+ years of proven experience in enterprise integration with expertise in microservices, integration patterns, and reusable frameworks across heterogeneous systems and partner ecosystems (SAP Integration Suite, CPI, API-M, TPM). Experience with AI coding assistants (Codex, Claude Code) and workflow automation/orchestration systems (n8n).
  • Experience across the API lifecycle (design, build, governance, management) with exposure to AI-enabled API orchestration and intelligent routing.
  • Strong expertise integrating distributed enterprise systems (SAP S/4, IBP, Salesforce, SaaS/Cloud apps) using API-First and Event Driven Architectures.
  • Proven ability to develop intelligent, distributed integration architectures using REST, GraphQL, SOAP; compose scalable, reusable services; apply automated, data-driven orchestration in Agile environments.
  • Proficiency with extensive EDI deployments (EDIFACT, ANSI X12, custom EDI, RNIF) and opportunities to improve flows via automated validation, mapping, and anomaly detection.
  • Strong programming/scripting skills (Java, Groovy, Python, PowerShell) with capability to integrate agentic workflows into integration pipelines.
  • Solid grasp of identity management and access control (authorization frameworks, keys, SAML, JWT, certificates) and secure automated integrations and policy enforcement.
  • Experience building CI/CD pipelines (Git, Jenkins, JFrog) and observability/monitoring tools (Datadog, Splunk); familiarity with intelligent monitoring frameworks.

Skills

Required:AI-assisted engineeringEvent-driven architectureRESTJavaPython
Nice to have:GraphQLSOAPEDI (EDIFACT, X12)

Benefits

  • Equity
  • Benefits (as per NVIDIA benefits)
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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