Senior AI Workflow Engineer

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$270,250 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $219k
$139k most similar roles pay here $284k

This role pays more than 63% of similar roles. Most pay $165,112–$235,750 — the shaded band above. At the midpoint, this role pays about $219k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior AI Workflow Engineer

Senior AI Workflow Engineer joins the Enterprise Integration and API Team to develop, maintain, and architect innovative software solutions at the forefront of AI-augmented engineering. The role involves building a developer-centric Unified Integration Framework featuring governed APIs, data access, and agent connectivity via MCP. You will design high-throughput, real-time integration platforms using event-driven, asynchronous, and AI-augmented orchestration patterns to support distributed systems across multi-cloud environments. Key responsibilities include implementing intelligent algorithms into production-grade systems and orchestrating autonomous, self-healing integration lifecycles. Required skills include expertise in microservices, SAP Integration Suite, and tools like Codex, Claude Code, and n8n. You will utilize Java, Groovy, Python, and PowerShell to manage EDI deployments and secure integrations using REST, GraphQL, and SOAP. Experience with CI/CD pipelines, Datadog, Splunk, and identity management protocols is essential for ensuring seamless enterprise interoperability.

What you'll do

  • Develop roadmaps and frameworks for Enterprise Integration, B2B, and API ecosystems using agentic AI capabilities.
  • Architect high-throughput, real-time integration platforms using event-driven and AI-augmented orchestration patterns.
  • Design context-aware integration solutions for complex business processes across multi-cloud environments.
  • Implement intelligent algorithms and autonomous workflows into production-grade integration systems.
  • Orchestrate closed-loop integration lifecycles featuring self-monitoring, self-healing, and proactive alerting through agentic automation.
  • Build a developer-centric Unified Integration Framework to enable secure, self-service connectivity across systems.
  • Manage the full API lifecycle including design, building, governance, and intelligent routing.
  • Develop scalable, reusable services for distributed enterprise systems using REST, GraphQL, and SOAP.

What we're looking for

  • Bachelor’s/Master’s degree or equivalent experience in Computer Science or a related Engineering degree.
  • 8+ 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 (CPI, API-M, TPM) and AI coding assistants like Codex and Claude Code.
  • Proficiency in workflow automation tools such as n8n and experience with the full API lifecycle.
  • Expertise integrating distributed enterprise systems (SAP S/4, IBP, Salesforce) using REST, GraphQL, and SOAP.
  • Strong programming skills in Java, Groovy, Python, and PowerShell to integrate agentic workflows into pipelines.
  • Experience with CI/CD tools (Git, Jenkins, JFrog), observability tools (Datadog, Splunk), and identity management protocols (SAML, JWT).

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