Principal AI Workflow Engineer

NVIDIA is seeking a Principal AI Workflow Engineer to join the Enterprise Integration and API Team. The successful candidate will play a key role in crafting, developing, and maintaining innovative software solutions that operate at the forefront of AI-augmented engineering.

The role involves building 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.

Responsibilities:

• 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.

Requirements:

• Bachelor’s/Master’s degree or equivalent experience in Computer Science, or related Engineering Degree.
• 15+ years of proven experience in enterprise integration. Expertise in microservices, integration patterns, and reusable frameworks across heterogeneous systems and partner ecosystems.
• 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.
• 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.

Salary: The base salary range is 248,000 USD - 391,000 USD.

Benefits: You will also be eligible for equity and benefits.