Senior AI Workflow Engineer

NVIDIA AI; Santa Clara (CA); On-site; USD 168,000 - 322,000; Full time

Job summary

NVIDIA seeks an experienced Enterprise Integration Architect to develop roadmaps and frameworks for Enterprise Integration, B2B and API ecosystems, embedding AI-enabled capabilities for autonomous integration.

You will architect and deliver high-throughput, real-time integration platforms across large-scale distributed systems, using event-driven, asynchronous patterns and AI-augmented orchestration; collaborate with Product and Engineering to align data and compute needs.

Qualifications

• Bachelor’s/Master’s degree or equivalent experience in Computer Science, or related Engineering Degree.
• 8+ years of proven experience in enterprise integration with SAP, API, and AI tooling.
• Experience with API lifecycle design, build, governance, and management.
• Expertise in integrating distributed enterprise systems (e.g., SAP S/4, IBP, Salesforce) via API-First and EDA.
• Design REST, GraphQL, and SOAP services; implement scalable, reusable architectures.
• Proficient in EDI deployments (EDIFACT, ANSI X12, RNIF) and automated validation.
• Strong programming/scripting (Java, Groovy, Python, PowerShell) and CI/CD tooling.
• Identity management, keys, SAML/JWT; secure automated integrations.
• Experience with Git, Jenkins, JFrog, Datadog, Splunk for observability.

Responsibilities

• Develop roadmap and framework for Enterprise Integration, B2B, and API ecosystems with AI-augmented capabilities.
• Architect and deliver high-throughput, real-time integration platforms for large-scale distributed systems.
• Design context-aware integration solutions across Operations, Order-to-Cash, Planning, and multi-clouds.
• Collaborate with Product and Engineering to align data/compute needs in software, hardware, automotive, and AI.
• Orchestrate autonomous, closed-loop integration lifecycles with self-monitoring, self-healing, testing and alerts.

Skills

Enterprise integration

Microservices

API lifecycle

Distributed systems

AI integration

CI/CD pipelines

Java

Python

Security/Authorization

Event-driven architecture

EDI deployments

Observability tools

Education

Bachelor’s/Master’s degree in Computer Science or related Engineering

Tools

SAP CPI

API-M

TPM

n8n

Codex

Claude Code

Git

Jenkins

JFrog

Datadog

Splunk

Job description

Job Requisition ID JR2024881

Job Category Engineering

Time Type Full time

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.

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, PaaS, SaaS), incorporating decisioning and automation driven by AI agents.
• 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, 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 heterogeneous systems and partner ecosystems. This covers SAP Integration Suite, including CPI, API‑M, and TPM. It also involves AI coding assistants like Codex and Claude Code, plus workflow automation and orchestration systems like n8n.
• Experience across the API lifecycle (design, build, governance, and management), with exposure to AI‑enabled API orchestration and intelligent routing.
• Strong expertise in integrating distributed enterprise systems such as SAP S/4, IBP, Salesforce, and similar SaaS/Cloud applications through diverse integration patterns, encompassing API‑First and Event Driven Architecture.
• Develops and delivers intelligent, distributed integration architectures with REST, GraphQL, and SOAP to support seamless enterprise interoperability. Composes scalable, reusable services for sophisticated systems. Applies expertise in automated, data‑driven orchestration in Agile environments.
• Proficient in handling extensive EDI deployments (EDIFACT, ANSI X12, custom EDI, RNIF), with opportunities to improve flows using automated validation, mapping, and anomaly detection.
• Strong programming and scripting skills (Java, Groovy, Python, PowerShell), with the ability to integrate agentic workflows into integration pipelines.
• Strong grasp of identity management and access control (authorization frameworks, application keys, SAML protocols, JWT tokens, Certificates), along with familiarity with secure automated integrations and policy enforcement.
• Experience building CI/CD pipelines using Git, Jenkins, JFrog, along with observability tools like Datadog, Splunk, and familiarity with intelligent monitoring frameworks.

Ways To Stand Out From The Crowd

• Proven experience building AI‑first, agentic integration architectures across SAP and non‑SAP ecosystems in distributed cloud environments.
• Published work in industry, shown thought leadership and how it helped the organization!

Your base salary will be determined based on your 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, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.