Senior AI Workflow Engineer

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 business processes across multi-cloud environments and SaaS applications.
• Implement intelligent algorithms and autonomous workflows into production-grade integration systems.
• Orchestrate autonomous integration lifecycles featuring self-monitoring, self-healing, and proactive alerting through agentic automation.
• Build a developer-centric Unified Integration Framework for secure, self-service connectivity and governed API access.
• Develop and deliver distributed integration architectures using REST, GraphQL, and SOAP to support enterprise interoperability.
• Manage extensive EDI deployments using automated validation, mapping, and anomaly detection.

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, microservices, and reusable frameworks across heterogeneous systems.
• Expertise in SAP Integration Suite, including CPI, API-M, and TPM.
• Experience with AI coding assistants like Codex and Claude Code, plus workflow automation tools like n8n.
• Experience across the API lifecycle, including design, build, governance, and management with AI-enabled orchestration.
• Expertise in integrating distributed systems like SAP S/4, IBP, and Salesforce using API-First and Event Driven Architecture.
• Proficiency in Java, Groovy, Python, and PowerShell to integrate agentic workflows into integration pipelines.
• Experience building CI/CD pipelines using Git, Jenkins, and JFrog, and using observability tools like Datadog and Splunk.