
Artificial Intelligence Architect
16 hours ago
Job Title:
Artificial Intelligence ArchitectThis role is designed for a technical leader who will architect, implement, and scale AI-driven process automation, intelligent workflow mining, and task orchestration.
Key Responsibilities:
- 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.
- Implementation and Development:
- Lead the development of AI-driven workflow automation using AutoGen's 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.
- 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.
- 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.
- 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.
Requirements:
- 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.
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