Cognitive Linguist - Onsite

Genesis10•Plano, TX

7h•Onsite

About The Position

Genesis10 is seeking a Cognitive Linguist for a contract position with a Global Financial Institution. This role focuses on architecting, developing, and maintaining machine learning models and NLU frameworks to identify end-user intent across a multi-channel Virtual Assistant platform. The position involves designing scalable conversational AI solutions, optimizing model performance, and ensuring the intent recognition architecture supports web, mobile, and voice-based experiences.

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

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