AI Engineer developing next - gen conversational AI with a cross - functional team at a healthcare technology startup. Focused on deploying solutions and ensuring data accuracy.
About the role
- AI Developer at Data-Core Systems, Inc. designing AI solutions for customer contact centers using Dynamics technology. Collaborate with SMEs on innovative implementations in AI and ML.
Responsibilities
- Design and implement AI solutions for back-office contact centers using Dynamics Contact Center solution, including virtual assistants for voice and chat, intelligent routing, and sentiment-aware human centered customer support
- Develop and maintain Natural Language Processing (NLP) models to analyze customer inquiries across voice, chat, email, and social media channels
- Collaborate with customer service, IT, and data analysis teams to identify automation opportunities and improve customer engagement
- Integrate AI capabilities with existing systems such as Microsoft Dynamics Customer Relationship Management (CRM), website and mobile app
- Monitor and optimize AI model performance to ensure high accuracy, responsiveness, and customer satisfaction
- Leverage machine learning to predict customer needs, personalize interactions, and reduce call volumes
- Stay up-to-date with emerging AI technologies and retail trends to continuously enhance our contact center capabilities
- Fully document all created work associated with this position, including technical and functional designs and diagrams, test plans, test scripts, impact analysis reports, lessons learned, best practices for others to follow, plus any other documentation as required by the client
- Lead and participate in project team activities for system work efforts related to enterprise systems
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
- 5+ years of experience in AI Machine Learning (ML) development, preferably in retail or customer service environments
- Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch)
- Proficiency in NLP tools and libraries (e.g., spaCy, Hugging Face, NLTK)
- Hands on experience in Microsoft Dynamics Contact Center solution creating voice bot and chatbot using copilot studio and other Azure AI services
- Experience with cloud platforms (Azure) and deploying AI models in production
- Experience with voice AI and speech-to-text technologies (preferred)
- Knowledge of customer journey analytics and personalization engines (preferred)
- Understanding of omnichannel retail strategies and customer behavior (preferred)
- Experience with real-time data processing and streaming platforms (e.g., Kafka, Spark) (preferred)
- Familiarity with other contact center platforms and tools (e.g., Zendesk, Salesforce Service Cloud, Amazon Connect) (preferred)
- Enterprise Business Solutions, specifically SAP projects (preferred)
- ITIL / ITSM practices and methodologies (preferred)
Job title
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