| Gen AI Tech. Architect - Minneapolis, MN (Onsite) at Minneapolis, Minnesota, USA |
| Email: manish@epeopletech.com |
|
https://rb.gy/r1ud0k https://jobs.nvoids.com/job_details.jsp?id=2206593&uid= From: Manish, epeopletech manish@epeopletech.com Reply to: manish@epeopletech.com Hi, We have an urgent opening with Gen AI Tech. Architect and I have sent you job description, please go through it and let me know your comfort with it and also send me your updated resume ASAP. Position: Gen AI Tech. Architect Location: Minneapolis, MN (Onsite) Duration: Contract AI,Data & Automation Architect (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 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. Thanks & Regards Manish Sharma ePeople Technologies Inc 255 Baldwin Road, Suite 205, Parsippany, NJ 07054 Email:- Manish@epeopletech.com Linkedin: linkedin.com/in/manish-sharma-46aa1a21a http://www.epeopletech.com P Go Green! Please do not print this e-mail unless necessary Note: ePeople Technologies Inc is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions. We promote and support a diverse workforce at all levels in the company. This is not an unsolicited mail and if it is not intended for you or you are not interested in receiving our e-mails please forward this email to with "remove" in the subject line and mention all the e-mail addresses to be removed with any e-mail addresses, which might be diverting the e-mails to you. We are extremely sorry if our email has caused any inconvenience to you. Keywords: artificial intelligence machine learning business intelligence information technology golang Minnesota New Jersey Gen AI Tech. Architect - Minneapolis, MN (Onsite) manish@epeopletech.com https://rb.gy/r1ud0k https://jobs.nvoids.com/job_details.jsp?id=2206593&uid= |
| manish@epeopletech.com View All |
| 03:23 AM 26-Feb-25 |