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Urgent! AI & Automation Architect Job Opening In Hyderabad – Now Hiring Renovision Automation Services Pvt.Ltd.

AI & Automation Architect



Job description

<p>This role is designed for a technical leader who will architect, implement, and scale <b>AI-driven process automation, intelligent workflow mining, and task orchestration using AutoGen, CrewAI, WrenAI, and Azure AI.</b> <br/><br/>The architect will drive enterprise-grade <b>AI platform development, ensuring seamless integration of structured (SQL) and unstructured data (images, videos, logs, etc.)</b> while leveraging <b>LLMs, process mining, RPA, Data Science and AI/ML techniques for automation</b>, scalability, and decision :</b><br/><br/>1.

Architectural Design :<br/><br/>- Define AI-powered process automation blueprints and agentic AI frameworks.<br/><br/>- Design scalable, secure, and high-performance architectures for AI-first process mining and discovery.<br/><br/>- Establish LLM-based active learning pipelines for continuous improvement and adaptability.<br/><br/>2.

Implementation and Development :<br/><br/>- Lead the development of AI-driven workflow automation using AutoGens inter-agent collaboration.<br/><br/>- Build process intelligence layers to optimize execution, anomaly detection, and decision automation.<br/><br/>- Develop and deploy RPA-enhanced AI agents for business process transformation.<br/><br/>3.

Integration and Testing :<br/><br/>- Integrate Azure AI Search, Vector DBs, and Intelligent Process Automation to extract insights from enterprise data.<br/><br/>- Implement multi-modal AI pipelines handling structured and unstructured inputs for dynamic processing.<br/><br/>- Optimize AI-driven anomaly detection for automated error resolution and predictive analytics.<br/><br/>4.

Optimization and Performance Tuning :<br/><br/>- Leverage ML-driven process mining for automated workflow discovery, execution efficiency, and intelligent recommendations.<br/><br/>- Implement continuous AI learning cycles to improve accuracy and execution speed over time.<br/><br/>- Optimize end-to-end process intelligence dashboards using advanced NLP and BI visualizations.<br/><br/>5.

Documentation and Knowledge Sharing :<br/><br/>- Develop comprehensive architectural documentation for AI-driven process intelligence solutions.<br/><br/>- Lead knowledge-sharing initiatives to align teams on best practices in GenAI, RPA, and Intelligent Process Automation.<br/><br/>- Mentor teams on AutoGen-based AI workflow orchestration and scalable AI agent development.<br/><br/><b>Skills Required :</b><br/><br/>- <b>Must have: AutoGen Framework, CrewAI, WrenAI, Task Automation Agents, and Process Intelligence Systems.</b><br/><br/>- <b>Must have: Deep experience in AI-driven Process Discovery, Mining, and RPA Integration.</b><br/><br/>- <b>Must have: Azure AI Search, Vector DBs for process intelligence, and AI-powered workflow automation.</b><br/><br/>- <b>Must have: Hands-on expertise in SQL, unstructured data processing, and AI-based data curation pipelines.</b><br/><br/>- <b>12-14 years in AI platform engineering, process automation, and intelligent systems development.</b><br/><br/>- <b>5+ years recent leading AI-powered enterprise automation projects using Python, Flask/Django/FastAPI.</b><br/><br/>- Expertise in building ML/AI pipelines leveraging Azure Synapse, AI Search, and LLM-based analytics.<br/><br/>- Experience designing vector databases (Pinecone, FAISS, Weaviate, ChromaDB) and AI-powered workflow models.<br/><br/>- Deep expertise in AI/ML-powered business process modeling for task orchestration and intelligent automation.<br/><br/>- Knowledge of Azure Form Recognizer, OCR for intelligent document processing, and NLP-driven automation.<br/><br/>- <b>Hands-on experience with AutoGen, TaskWeaver, RAG, RLHF, and process-driven AI workflow automation.</b><br/><br/>- <b>Strong communication, architecture sketching, and AI-driven platform development expertise.</b></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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