Senior AI Workflow Engineer

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

Job summary

NVIDIA seeks a Senior AI Workflow Engineer to craft and maintain a Unified Integration Framework enabling secure, self-service connectivity across systems and apps. You’ll embed agentic AI capabilities and orchestrate AI-assisted automation across enterprise data flows and APIs.

You will design real-time integration platforms, work with SAP S/4, Salesforce, and cloud services, and ensure governance, security, and scalability.

Qualifications

• Bachelor’s/Master’s degree or equivalent in Computer Science or related Engineering field.
• 8+ years of enterprise integration experience with microservices and APIs in diverse ecosystems.
• Experience with SAP S/4, IBP, Salesforce, and SaaS/Cloud integrations using API-first patterns.
• Proficiency in Java, Python, Groovy and scripting for automation and workflows.
• Knowledge of CI/CD, security (SAML, JWT), and observability tooling.

Responsibilities

• Develop roadmap and framework for Enterprise Integration and API ecosystems with AI capabilities.
• Architect high-throughput, real-time integration platforms using event-driven patterns.
• Design context-aware integration solutions across Operations, O2C, Planning, and multi-cloud.
• Collaborate with Product and Engineering to implement intelligent autonomous workflows.
• Orchestrate autonomous, self-healing integration lifecycles with monitoring and alerts.

Skills

Java

Python

Groovy

PowerShell

API-first design

Event-driven architecture

Security practices

CI/CD automation

Distributed systems

Education

Bachelor’s or Master’s degree in CS or related Engineering

Tools

Git

Jenkins

JFrog

Datadog

Splunk

n8n

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 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.