Chief Architect for Enterprise AI Platforms

2 days ago

Solapur, Maharashtra, India beBeeProcess Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Technical Leadership Position for AI-Driven Process Automation

This position is designed for individuals with extensive experience in architecting, implementing, and scaling AI-driven process automation using cutting-edge technologies like AutoGen, CrewAI, WrenAI, and Azure AI. The successful candidate will drive the development of an enterprise-grade AI platform, ensuring seamless integration of structured (SQL) and unstructured data while leveraging LLMs, process mining, RPA, Data Science, and AI/ML techniques for automation, scalability, and decision intelligence.

Key Responsibilities:
  • Architectural Design:
    • Define AI-powered process automation blueprints and agentic AI frameworks to optimize execution efficiency and decision-making.
    • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Required Skills:

  • Deep expertise in AI-driven Process Discovery, Mining, and RPA Integration.
  • Hands-on experience in SQL, unstructured data processing, and AI-based data curation pipelines.
  • 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.
  • Strong communication, architecture sketching, and AI-driven platform development expertise.

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