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NEXTMOVEFDE careers · United States

Senior AI Workflow Engineer

AI summary of the role

Senior role on NVIDIA's Enterprise Integration and API Team, architecting AI-augmented integration platforms and a Unified Integration Framework.

What you’ll do

  • Develop roadmap and framework for Enterprise Integration, B2B, and API ecosystems with agentic AI capabilities.
  • Architect high-throughput, real-time integration platforms using event-driven and AI-augmented orchestration.
  • Design intelligent integration solutions for business processes across Operations, Order-to-Cash, Planning, and multi-cloud.
  • Collaborate with Product and Engineering to implement AI-driven workflows into production-grade systems.

What you’ll bring

  • 8+ years of enterprise integration experience.
  • Expertise in SAP Integration Suite (CPI, API-M, TPM), microservices, and integration patterns.
  • Experience with AI coding assistants (Codex, Claude Code) and workflow automation (n8n).
  • Strong skills in Java, Groovy, Python, PowerShell.

Technologies

SAP Integration Suite · CPI · API-M · TPM · Codex · Claude Code · n8n · REST · GraphQL · SOAP · EDI · EDIFACT

About NVIDIA

Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.

Public

Source and classification

Internal deployment & tooling · Evidence for this classification:

integration ecosystem. You will help build a developer-centric Unified Integration Framework that enables secure, self-service connectivity across systems and applications, with governed APIs, data access, and controlled agent connectivity through MCP to support AI application development. What you’ll be doing: 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 sophisticated business processes across Operations, Order-to-Cash, Planning, and multi-cloud environments (IaaS,
More from the job description

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you are immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are seeking a Senior AI Workflow Engineer to join the Enterprise Integration and API Team, playing a key role in crafting, developing, and maintaining innovative software solutions. This role operates at the forefront of AI-augmented engineering. It uses AI-assisted engineering and automation tools such as Codex, Claude Code, and n8n to accelerate development, testing, and delivery across the integration ecosystem. You will help build a developer-centric Unified Integration Framework that enables secure, self-service connectivity across systems and applications, with governed APIs, data access, and controlled agent connectivity through MCP to support AI application development. What you’ll be doing: Develop roadmap and framework for Enterprise Integration, B2B, and API ecosystems, embedding agentic AI capabilities to enable autonomous, adaptive, and self-optimizing integration stra [... source excerpt omitted ...] oduct 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, enabling self-monitoring, self-healing, continuous testing, adaptive updates, and proactive alerting through agentic automation. What we need to see: Bachelor’s/Master’s degree or equivalent experience in Computer Science, or related Engineering Degree. 8+ years of proven experience in enterprise integration. You have expertise in microservices, integration patterns, and reusable frameworks across heterog [... source excerpt omitted ...] ur location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, col

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