Principal AI Workflow Engineer

Salesonaut; Myrtle Point (OR); On-site; USD 140,000 - 210,000; Full time

Job summary

Salesonaut is seeking a seasoned Enterprise Integration Architect to lead the roadmap and framework for API ecosystems, B2B, and AI-augmented automation across the enterprise. You will architect high-throughput, real-time platforms and craft intelligent, context-aware integrations spanning multi-cloud environments.

You will collaborate with Product and Engineering to translate evolving data and compute needs into production-grade solutions, deploying REST, GraphQL, SOAP, and EDI workflows with

Qualifications

• Experience with enterprise integration and API ecosystems.
• CI/CD pipelines with Git, Jenkins, JFrog.
• Observability with Datadog and Splunk.

Responsibilities

• Develop roadmap and framework for Enterprise Integration, B2B, and APIs.
• Design intelligent, autonomous integration platforms at scale.
• Collaborate with Product and Engineering to align data and compute needs.
• Implement autonomous workflows with self-monitoring lifecycles.

Skills

API integration

Event-driven architecture

AI-enabled orchestration

Distributed systems

Automation

Self-healing systems

Tools

Git

Jenkins

JFrog

Datadog

Splunk

REST

GraphQL

SOAP

EDI

Job description

Role overview

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. Develops and delivers intelligent, distributed integration architectures with REST, GraphQL, and SOAP to support seamless enterprise interoperability. Experience across the API lifecycle (design, build, governance, and management), with exposure to AI-enabled API orchestration and intelligent routing. Proficient in handling extensive EDI deployments (EDIFACT, ANSI X12, custom EDI, RNIF), with opportunities to improve flows using automated validation, mapping, and anomaly detection. Experience building CI/CD pipelines using Git, Jenkins, JFrog, along with observability tools like Datadog, Splunk, and familiarity with intelligent monitoring frameworks.