Position: Gen AI Tech. Architect
Location: Minneapolis, MN onsite - 3 day/week hybrid
Duration: 3 to 4 Month
Job Description:
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 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.
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.
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