Hybrid Position - Vienna, VA, WOC-Winchester, VA, GPO-Pensacola, FL, SD-San Diego, CA
Digital Engineer - Conversational Banking
The ideal Conversational AI Engineer will design, build, and optimize AI-powered chatbots and voice assistants using Azure Bot Framework and Conversational Language Understanding (CLU). This role focuses on training, tuning, and analyzing AI models for voice-based interactions, ensuring seamless and intelligent user experiences. The primary focus will be post-transcription, with voice-to-text handled by another team.
The successful candidate will have expertise in natural language processing (NLP), Azure Cognitive Services – particularly CLU, and experience tuning and training models that receive requests initiated within voice IVR platforms.
Key Responsibilities:
- Conversational Model Development
- Build and fine-tune Conversational Language Understanding (CLU) models in platforms like Azure Language Studio
- Train intents, entities, and utterances for better chatbot comprehension
- Implement context handling to maintain conversation flow across multiple turns
- Speech & Voice AI Integration
- Integrate with speech-to-text (STT) and text-to-speech (TTS) services for voice-based interactions
- Focus on post-transcription tuning (experience on the voice side is helpful but not required)
- Optimization & Tuning
- Continuously improve chatbot performance by analyzing user interactions and model accuracy
- Testing & Debugging
- Conduct unit testing, regression testing, and A/B testing to validate bot performance
- Identify and fix misclassifications, intent overlaps, and response errors
- Use analytics tools to track user behavior and refine interactions
- Security & Compliance
- Ensure compliance with AI ethics policies
- Collaboration & Continuous Learning
- Work with data scientists and software engineers to enhance chatbot capabilities
- Stay updated on NLP advancements, Azure AI updates, and emerging conversational AI trends
- Communicate chatbot performance insights to stakeholders
Required Skills:
- Experience with Azure Cognitive Services - CLU (Conversational Language Understanding)
- Experience continuously improving chatbot performance via analysis to improve experience and model accuracy
- Prior experience with voice channel and transcription that is fed into a chatbot
- Collaborative approach and ability to work effectively in a team environment
CC Pace is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic under federal, state, or local laws.