AI Workflow Engineer

About the role

Advansys is looking for AI Workflow Engineers to design, build and deploy automated workflows and integrations on Opus. You turn solution designs into production-grade workflows that are reliable, scalable and accurately execute business logic across multiple systems, operating at the core of delivery.

Key responsibilities

• Re-engineer processes, document SDDs, gather technical requirements and build the core automated workflows and integrations, including agentic workflows with clear orchestration, decision logic and exception handling.
• Build and manage integrations across enterprise systems using APIs, webhooks and data interfaces, ensuring reliable data flow, transformations, validations and error handling.
• Work with Architects to align on integration patterns and system interactions.
• Own unit testing and system integration testing, develop test cases covering core logic, edge cases and failure scenarios, and support issue resolution during UAT and post-deployment.
• Produce and maintain SDDs, integration specifications, configuration details and test cases, and work with Solutions Consultants and Platform Engineering.

Required profile

• 3-6 years of experience in software engineering, workflow automation or integration development.
• USA visa or work permit is mandatory.

Required skills

• Experience with APIs, distributed systems or automation platforms.
• Workflow thinking: designing structured, logical workflows with clear inputs, outputs and decision paths.
• Integration skills: strong understanding of APIs, data flows and system interactions.
• Testing mindset: focused on validation, edge cases and system reliability.