AI/ML Engineer

Seeking a Cognitive Linguist - Onsite for a contract position located in Charlotte, NC, Pennington, NJ, or Plano, TX. This is a 12+ month contract opportunity.


The successful candidate will be responsible for architecting, developing, and maintaining machine learning models and NLU frameworks that identify end-user intent across a multi-channel Virtual Assistant platform. This role focuses on designing scalable conversational AI solutions, optimizing model performance, and ensuring the underlying intent recognition architecture effectively supports web, mobile, and voice-based experiences.


Responsibilities:

• Architect and maintain the NLU intent framework across enterprise domains (e.g., Technology, Human Resources), ensuring alignment with conversational solution design patterns for web, mobile, and voice experiences
• Design, engineer, and curate training and validation datasets to support machine learning pipelines for intent classification, speech recognition, and conversational AI performance optimization
• Develop and maintain model evaluation frameworks, telemetry pipelines, and observability tools to measure accuracy, reliability, and operational performance, enabling data-driven model tuning throughout the development lifecycle
• Design scalable disambiguation, fallback, and error-handling architectures that improve resilience and user experience as virtual assistant capabilities expand across domains and channels
• Analyze conversational telemetry, interaction flows, and runtime performance metrics to identify gaps, root causes, and optimization opportunities, implementing architectural improvements that enhance system effectiveness
• Partner with data scientists, product owners, UX researchers, and software engineers to design, build, and evolve the cognitive architecture and decisioning framework that powers the virtual assistant ecosystem

Requirements:

• Proven experience architecting and maintaining NLU intent frameworks
• Experience designing and curating datasets for machine learning pipelines
• Ability to develop model evaluation frameworks and telemetry pipelines
• Knowledge of designing scalable error-handling architectures for virtual assistants
• Experience with Microsoft Office, including Excel