Conversational AI Engineer

  • Winchester, VA
  • Posted 1 day ago | Updated 1 day ago

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

NLP
CLU
AI
Azure Language Studio
AI/ML
Azure Bot

Job Details

Position: Conversational AI Engineer Location: Vienna, VA, Winchester, VA, Pensacola, FL, San Diego, CA (Hybrid) Duration: 12+ months
Job Description:

Manager Notes / Summary:

  • Optimize AI-powered chatbots and voice assistants using Azure Cognitive Services CLU, focusing on post-transcription model tuning.
  • Design, train, and refine conversational models to improve intent classification, entity recognition, and context handling.
  • Collaborate with cross-functional teams to analyze data and improve chatbot accuracy and user experience.

Conversational AI Engineer

A top Fortune 50 financial services company is seeking a highly motivated Conversational AI Engineer to work a hybrid work schedule at one of the following locations: Vienna, VA; Winchester, VA; Pensacola, FL; San Diego, CA. This individual will support the development and optimization of AI-powered chatbots and voice assistants, with a focus on post-transcriptional conversational processing using Azure Cognitive Services CLU.

About the Opportunity:
Hybrid or Remote: Hybrid must be able to report to one of the listed campus locations
Setting: Large enterprise / financial services environment
Team Focus: Conversational AI, Natural Language Understanding (NLU)
Voice Pipeline Note: This role is responsible for post-transcription model tuning; voice-to-text is handled by a separate team
Collaboration: Cross-functional team environment involving data scientists, engineers, and analysts

Responsibilities:
The Conversational AI Engineer will be responsible for:
Designing and fine-tuning Conversational Language Understanding (CLU) models using Azure Language Studio
Training intents, entities, and utterances to improve chatbot and voice assistant accuracy
Implementing context handling for multi-turn conversations
Analyzing logs and transcripts from voice interactions to continuously improve model accuracy
Conducting unit, regression, and A/B testing to validate and enhance chatbot performance

Qualifications:

  • 6 years of experience in Natural Language Processing (NLP) or Conversational AI
  • Bachelor s degree in Computer Science, Data Science, Engineering, or a related field
    Experience with Azure Cognitive Services CLU and Azure Language Studio
    Strong knowledge of NLU principles, including intent classification and entity extraction
    Proven ability to analyze interaction data to optimize conversational models
    Experience working with or around IVR and voice-interaction platforms
    Excellent collaboration and communication skills
    Detail-oriented and analytical approach to problem-solving

Desired Skills:
5+ years of experience in AI/ML or voice assistant development (preferred)
Master s degree in a related field
Experience with Azure Bot Framework
Familiarity with speech-to-text (STT) and text-to-speech (TTS) services
Awareness of ethical AI practices and compliance standards

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About DCode Talent