NVIDIA Corporation

Senior AI Workflow Engineer

NVIDIA Corporation$168K — $322K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's/Master's degree in Computer Science or related Engineering.
  • 8+ years in enterprise integration with expertise in microservices and integration patterns.
  • Experience with SAP Integration Suite, AI coding assistants, and workflow automation.
  • Proficient in integrating distributed systems like SAP S/4 and Salesforce.
  • Strong programming skills in Java, Groovy, Python, and PowerShell.
  • Knowledge of identity management and access control frameworks.
  • Experience with CI/CD pipelines and observability tools.

Responsibilities

  • Develop and execute Enterprise Integration roadmap with AI capabilities.
  • Architect high-throughput integration platforms for distributed systems.
  • Design context-aware integration solutions across complex business processes.
  • Collaborate with product and engineering teams on evolving integration needs.
  • Orchestrate autonomous integration lifecycles for self-monitoring and updates.

Benefits

  • Equity opportunities as part of the compensation package.
  • Comprehensive health and wellness benefits.
  • Flexible work environment to balance personal and professional life.
  • Continuous learning and development programs.
  • Access to cutting-edge AI technologies and tools.
Full Job Description
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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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