| Hiring Gen AI Tech. Architect || Minneapolis, MN at Minneapolis, Minnesota, USA |
| Email: [email protected] |
|
From: Akshita, Keyinfotek [email protected] Reply to: [email protected] Hi We are looking for a Gen AI Tech. Architect with the below skill set to support our client. If youre interested, kindly share your resume. Job Title : Gen AI Tech. Architect Location : Minneapolis 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. (Must Have Use case qualification and funnel/roadmap building, GenAI,Agentic AI, Process Automation & AI Platform Engineering) 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 Keywords: artificial intelligence machine learning business intelligence Hiring Gen AI Tech. Architect || Minneapolis, MN [email protected] |
| [email protected] View All |
| 01:50 AM 26-Feb-25 |