We are seeking a highly skilled and innovative AI-Powered Automation Engineer to design, implement, and optimize an advanced AI-driven chatbot automation solution that enhances the IT support experience for healthcare professionals.
Requirements
Design, build, and maintain an AI-driven chatbot automation that handles a variety of healthcare IT support tasks such as incident triage, password resets, system troubleshooting, and ticket creation.
Ensure high availability, reliability, and scalability of the chatbot to meet the growing demands of healthcare IT support.
Implement and optimize intent classification models to identify user queries (e.g., system issues, password reset requests) using algorithms like BERT, GPT, and fine-tuned transformers.
Develop advanced models for extracting essential information (e.g., system names, error codes, timestamps) to improve resolution accuracy.
Implement systems that track conversation context across multiple turns, maintaining continuity in dynamic user interactions.
Design decision-making frameworks and use machine learning models for seamless interaction management. This includes building decision trees and optimizing multi-turn conversations to simulate human-like behavior.
Integrate the chatbot with internal knowledge repositories, enabling the bot to provide self-service solutions for routine IT issues (e.g., FAQs, troubleshooting guides, software installation manuals).
Develop mechanisms for the knowledge base to be dynamically updated and improve over time through user feedback and AI-driven recommendations.
Design and implement seamless integration with internal IT ticketing systems (e.g., ServiceNow, Jira Service Management, or similar platforms) to auto-generate, update, and track support tickets in real-time.
Leverage machine learning models to predict the urgency of issues and trigger appropriate actions, such as prioritizing critical tickets or escalating unresolved issues.
Design, train, and fine-tune ML models for tasks such as intent classification, issue categorization, priority prediction, and automatic ticket routing using deep learning techniques (e.g., BERT, RNNs, LSTMs, and reinforcement learning).
Implement techniques for continuous learning, allowing models to adapt to evolving healthcare IT support challenges and new issues.
Monitor chatbot performance using key metrics (e.g., resolution time, user satisfaction, issue escalation rates) and feedback loops to fine-tune algorithms and improve response accuracy.
Regularly update the chatbot’s capabilities based on user feedback, healthcare IT trends, and evolving technology to maintain a user-friendly, high-performance chatbot solution.
Benefits
Competitive benefits based on parity and consistency
Flexible medical, life insurance, and retirement options
Opportunities for career growth and professional development
Diverse and inclusive work environment
Flexible work arrangements and work-life balance
Opportunities for employee recognition and rewards
Professional development opportunities and training
Opportunities for advancement and career progression
