Ai, Data (Hyderabad)

Experience - 15+ years This role is designed for a technical leader who will architect, implement, and scale AI-driven process automation, intelligent workflow mining, and task orchestration using AutoGen, CrewAI, WrenAI, and Azure AI. The architect will drive enterprise-grade AI platform development, ensuring seamless integration of structured (SQL) and unstructured data (images, videos, logs, etc.) while leveraging LLMs, process mining, RPA, Data Science and AI/ML techniques for automation, scalability, and decision intelligence. Responsibilities: 1. Architectural Design: - Define AI-powered process automation blueprints and agentic AI frameworks. - Design scalable, secure, and high-performance architectures for AI-first process mining and discovery. - Establish LLM-based active learning pipelines for continuous improvement and adaptability. 2. Implementation and Development: - Lead the development of AI-driven workflow automation using AutoGens inter-agent collaboration. - Build process intelligence layers to optimize execution, anomaly detection, and decision automation. - Develop and deploy RPA-enhanced AI agents for business process transformation. 3. Integration and Testing: - Integrate Azure AI Search, Vector DBs, and Intelligent Process Automation to extract insights from enterprise data. - Implement multi-modal AI pipelines handling structured and unstructured inputs for energetic processing. - Optimize AI-driven anomaly detection for automated error resolution and predictive analytics. 4. Optimization and Performance Tuning: - Leverage ML-driven process mining for automated workflow discovery, execution efficiency, and intelligent recommendations. - Implement continuous AI learning cycles to improve accuracy and execution speed over time. - Optimize end-to-end process intelligence dashboards using advanced NLP and BI visualizations. 5. Documentation and Knowledge Sharing: - Develop comprehensive architectural documentation for AI-driven process intel .