Principal AI Workflow Engineer

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 life cycles, 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.