Senior AI Workflow Engineer

NVIDIA is seeking a Senior 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 using AI-assisted engineering and automation tools such as Codex, Claude Code, and n8n to accelerate development, testing, and delivery across the integration ecosystem. The goal is to build a developer-centric Unified Integration Framework that enables secure, self-service connectivity across systems and applications.

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.
• Collaborate with Product and Engineering teams to understand evolving data and compute needs in software, hardware, automotive, and AI.
• 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.
• 8+ years of proven experience in enterprise integration, with expertise in microservices, integration patterns, and reusable frameworks across heterogeneous systems and partner ecosystems.
• Experience across the API lifecycle, 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.
• Proficient in handling extensive EDI deployments, with opportunities to improve flows using automated validation, mapping, and anomaly detection.
• Strong programming and scripting skills, with the ability to integrate agentic workflows into integration pipelines.
• Strong grasp of identity management and access control, 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.

Benefits:

• Base salary range: 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
• Equity and benefits package.

How to Stand Out:

• 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!