- 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
- Robust 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

📌 AI Workflow Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru