Note: The job is a remote job and is open to candidates in USA. Russell Tobin is recruiting for a confidential client, described as a leading global technology company. The role supports the development and delivery of internal AI products and services for Global People Operations by shaping conversational AI architecture, translating business needs into technical requirements, and evaluating and improving solutions.

Responsibilities

• Research and recommend industry best practices and emerging approaches in Conversational AI
• Apply NLP techniques to transform natural language data for classification algorithms
• Collaborate with engineers and applied research scientists to develop efficient, scalable AI solutions
• Define technical direction and architecture for conversational assistants
• Translate high-level business requirements into detailed system-level and functional requirements
• Develop and maintain conversation flow diagrams and technical documentation
• Support requirements gathering, user stories, project estimates, and roadmapping
• Design and lead A/B testing, usability testing, QA, and other evaluation activities
• Analyze testing results and continuously improve conversational AI solutions
• Develop proof of concepts and pilot solutions with cross-functional teams
• Educate stakeholders and colleagues on conversational AI design principles and best practices

Skills

• 5+ years of hands-on experience solving problems with Conversational AI in an academic or professional setting
• Experience with NLP, machine learning methods, text representation techniques, or LLM-based solutions
• Experience collaborating with business stakeholders, engineering teams, and technical partners
• Experience translating business requirements into technical solutions
• Experience designing, testing, and delivering AI-powered conversational products
• Bachelor's degree or equivalent practical experience
• Strong understanding of Conversational AI and customer-centric conversational experiences
• Knowledge of UX design principles, standards, and best practices
• Comfortable working with AI architecture and evaluation
• Strong analytical, problem-solving, and communication skills
• Ability to create conversation flows, system diagrams, and detailed technical documentation
• Ability to collaborate effectively with product, design, data, and engineering teams
• Strong understanding of workflow integration and scalable self-service solutions
• Ability to bridge business stakeholders and engineering teams
• Experience translating business requirements into technical and functional specifications
• Strong understanding of conversational system design, NLP techniques, and machine learning methods
• Master's degree in Computer Science, Computational Linguistics, Engineering, Informatics, or a related field preferred
• Salesforce experience
• Experience with workforce optimization projects
• Experience leading a cross-functional pod or project
• Master's degree in Computer Science, Computational Linguistics, Engineering, or Informatics
• Experience creating detailed copy decks, including edge cases, versioning

Benefits

• Eligible employees receive comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k) retirement savings, life and disability insurance, an employee assistance program, legal support, auto and home insurance, pet insurance, and employee discounts with preferred vendors.

Company Overview

Company H1B Sponsorship