Senior AI Workflow Engineer
Nvidia
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How this pay compares to similar roles
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
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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At a glance
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.
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