AI Workflow Engineer

Relevant hands-on experience in AI Workflow Engineer responsibilities within AI environments

Demonstrated knowledge of data Integration and data modeling for data connectors with all system integration

Strong understanding of enterprise SDLC, quality controls, security practices, and change governance

Ability to translate business needs into clear technical or functional deliverables

Strong analytical, troubleshooting, communication, and documentation skills

Experience working with cross-functional, distributed teams using Agile delivery practices

Data Integration and data modeling for data connectors with all system integration

Own role-specific design, delivery, and continuous improvement activities for the AI Workflow Engineer scope

Collaborate with business, architecture, engineering, security, QA, and operations stakeholders

Prepare solution documents, plans, dashboards, test evidence, runbooks, and knowledge-transfer materials as applicable

Identify delivery risks, dependencies, defects, and improvement opportunities, and drive them to closure

Ensure deliverables comply with agreed architecture, security, quality, and governance standards

Support estimation, planning, status reporting, reviews, and production readiness activities