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 dynamic 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 intelligence solutions.

- Lead knowledge-sharing initiatives to align teams on best practices in GenAI, RPA, and Intelligent Process Automation.

- Mentor teams on AutoGen-based AI workflow orchestration and scalable AI agent development.

Skills Required :

- Must have: AutoGen Framework, CrewAI, WrenAI, Task Automation Agents, and Process Intelligence Systems.

- Must have: Deep experience in AI-driven Process Discovery, Mining, and RPA Integration.

- Must have: Azure AI Search, Vector DBs for process intelligence, and AI-powered workflow automation.

- Must have: Hands-on expertise in SQL, unstructured data processing, and AI-based data curation pipelines.

- 12-14 years in AI platform engineering, process automation, and intelligent systems development.

- 5+ years recent leading AI-powered enterprise automation projects using Python, Flask/Django/FastAPI.

- Expertise in building ML/AI pipelines leveraging Azure Synapse, AI Search, and LLM-based analytics.

- Experience designing vector databases (Pinecone, FAISS, Weaviate, ChromaDB) and AI-powered workflow models.

- Deep expertise in AI/ML-powered business process modeling for task orchestration and intelligent automation.

- Knowledge of Azure Form Recognizer, OCR for intelligent document processing, and NLP-driven automation.

- Hands-on experience with AutoGen, TaskWeaver, RAG, RLHF, and process-driven AI workflow automation.

- Strong communication, architecture sketching, and AI-driven platform development expertise.