Job Description
Job Description
Role : AI, Data & Automation Architect
Rate : As per the market but try to keep xxx / hr on C2C All Inclusive
Location : Minneapolis, MN only locals - onsite 5 days or 3 days hybrid in week
Job type : Contract
Job description :
Must Have Use case qualification and funnel / roadmap building, GenAI, Agentic AI, Process Automation & AI Platform Engineering)
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 .
