Artificial Intelligence Engineering Lead

4 days ago

Udaipur, Rajasthan, India beBeeTechnical Full time ₹ 1,84,12,500 - ₹ 2,21,50,000
Job Description

This role is designed for a seasoned technical leader to drive the development and implementation of AI-driven process automation, intelligent workflow mining, and task orchestration.

  • Architectural Design:
    • We are seeking an expert who can define AI-powered process automation blueprints and agentic AI frameworks.
    • The ideal candidate will 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:
    • The selected individual will lead the development of AI-driven workflow automation using AutoGen's inter-agent collaboration.
    • The successful candidate will build process intelligence layers to optimize execution, anomaly detection, and decision automation.
    • They will develop and deploy RPA-enhanced AI agents for business process transformation.
  • Integration and Testing:
    • The chosen professional will integrate Azure AI Search, Vector DBs, and Intelligent Process Automation to extract insights from enterprise data.
    • They will implement multi-modal AI pipelines handling structured and unstructured inputs for dynamic processing.
    • The individual will optimize AI-driven anomaly detection for automated error resolution and predictive analytics.
  • Optimization and Performance Tuning:
    • The ideal candidate will leverage ML-driven process mining for automated workflow discovery, execution efficiency, and intelligent recommendations.
    • They will implement continuous AI learning cycles to improve accuracy and execution speed over time.
    • The selected individual will optimize end-to-end process intelligence dashboards using advanced NLP and BI visualizations.
  • Documentation and Knowledge Sharing:
    • The chosen professional will develop comprehensive architectural documentation for AI-driven process intelligence solutions.
    • They will lead knowledge-sharing initiatives to align teams on best practices in GenAI, RPA, and Intelligent Process Automation.
    • The individual will mentor teams on AutoGen-based AI workflow orchestration and scalable AI agent development.

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