Principal AI Workflow Engineer

Details

NVIDIA is seeking a Principal AI Workflow Engineer to join the Enterprise Integration and API Team. The role focuses on crafting, developing, and maintaining innovative software solutions using AI-assisted engineering and automation tools such as Codex, Claude Code, and n8n. You will help build a developer-centric Unified Integration Framework that enables secure, self-service connectivity across systems and applications, governed APIs, data access, and controlled agent connectivity through MCP to support AI application development.

Responsibilities

• Develop the roadmap and framework for Enterprise Integration, B2B, and API ecosystems, embedding agentic AI capabilities to enable autonomous, adaptive, and self-optimizing integration strategies.
• Architect and deliver high-throughput, real-time integration platforms using event-driven, asynchronous, and AI-augmented orchestration patterns for large-scale distributed systems.
• Design intelligent, context-aware integration solutions for business processes across Operations, Order-to-Cash, Planning, and multi-cloud environments including IaaS, PaaS, and SaaS.
• Incorporate decision-making and automation driven by AI agents.
• Collaborate with Product and Engineering teams to understand evolving data and compute needs across software, hardware, automotive, and AI.
• Implement intelligent algorithms and autonomous workflows in 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.

Requirements

• Bachelor’s or Master’s degree, or equivalent experience, in Computer Science or a related engineering discipline.
• 15 or more years of proven experience in enterprise integration.
• Expertise in microservices, integration patterns, and reusable frameworks across heterogeneous systems and partner ecosystems.
• Experience with SAP Integration Suite, including CPI, API-M, and TPM.
• Experience with AI coding assistants such as Codex and Claude Code, and workflow automation and orchestration systems such as n8n.
• Experience across the API lifecycle, including design, development, governance, and management, with exposure to AI-enabled API orchestration and intelligent routing.
• Strong expertise integrating distributed enterprise systems such as SAP S/4, IBP, Salesforce, and similar SaaS and cloud applications using API-first and event-driven architecture patterns.
• Experience developing distributed integration architectures with REST, GraphQL, and SOAP.
• Ability to compose scalable, reusable services and apply automated, data-driven orchestration in Agile environments.
• Proficiency with extensive EDI deployments, including EDIFACT, ANSI X12, custom EDI, and RNIF, as well as automated validation, mapping, and anomaly detection.
• Strong programming and scripting skills in Java, Groovy, Python, and PowerShell.
• Ability to integrate agentic workflows into integration pipelines.
• Strong understanding of identity management and access control, including authorization frameworks, application keys, SAML protocols, JWT tokens, and certificates.
• Familiarity with secure automated integrations and policy enforcement.
• Experience building CI/CD pipelines using Git, Jenkins, and JFrog.
• Experience with observability tools such as Datadog and Splunk.

Preferred Qualifications

• Proven experience building AI-first, agentic integration architectures across SAP and non-SAP ecosystems in distributed cloud environments.
• Published industry work and demonstrated thought leadership.

Compensation and Benefits

The base salary range is $248,000–$391,000 USD. Compensation is determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until September 18, 2026. NVIDIA is an equal opportunity employer committed to an inclusive work environment.