Conversational AI, NLP Specialist

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, assess, and enhance conversational AI solutions, intelligent assistants, and automated workflows.

• Utilize NLP techniques, machine learning methods, statistical analysis, and text representation strategies for classification and intelligent automation.

• Collaborate with engineers and applied research scientists to create scalable algorithms and dependable AI systems.

• Integrate AI functionalities with APIs, databases, enterprise applications, and current business systems.

• Set technical direction and best practices for conversational AI architecture, evaluation, and performance enhancement.

• Assist in AI proof of concepts, pilots, and production implementations.

• Examine business processes to uncover opportunities for AI-driven enhancements, automation, and operational efficiency.

• Assess workflows, dependencies, decision paths, and exceptions to formulate automation strategies.

• Support workforce optimization initiatives related to Salesforce and associated enterprise technologies.

• Convert business goals into technical requirements, functional specifications, and implementation plans.

• Create process flows, conversational diagrams, documentation, and user stories.

• Prioritize technical initiatives based on business value, feasibility, resources, and anticipated impact.

• Act as a liaison between engineering teams, business stakeholders, product partners, and technical leadership.

• Lead project workstreams and manage cross-functional teams.

• Facilitate requirements gathering, solution reviews, technical discussions, and implementation planning.

• Articulate AI concepts, technical recommendations, and evaluation results to both technical and non-technical audiences.

• Guide stakeholders through solution demonstrations, pilot outcomes, and implementation choices.

• Contribute to roadmaps, delivery estimates, prioritization, and execution.

• Develop and implement evaluation strategies for AI accuracy, reliability, usability, and business effectiveness.

• Perform functional, quality assurance, usability, A/B, and pilot testing.

• Establish success criteria and performance metrics.

• Identify failure scenarios, edge cases, and workflow exceptions.

• Analyze testing results and user feedback to foster continuous improvement.

• Advocate for responsible, user-centered AI practices that promote secure, reliable, and scalable solutions.

⛳️ Requirements

• Over 5 years of hands-on experience in developing, implementing, or optimizing conversational AI, NLP, or related AI solutions.

• Proven experience in building AI assistants, chatbots, intelligent workflows, or similar AI-powered capabilities.

• Strong comprehension of conversational AI architecture, machine learning principles, NLP techniques, and AI evaluation methodologies.

• Proficient in translating complex business requirements into technical specifications and scalable solutions.

• Demonstrated ability to work directly with engineering teams while effectively communicating with business stakeholders.

• Experience in evaluating business processes and identifying opportunities for intelligent automation and workflow enhancement.

• Capable of developing detailed process documentation, workflow diagrams, functional requirements, and technical specifications.

• Familiarity with user-centered design principles, conversational experiences, and UX best practices.

• Experience in coordinating technical projects or leading cross-functional initiatives.

• Strong analytical, problem-solving, communication, and stakeholder management skills.

• Ability to work independently, manage competing priorities, and drive initiatives from concept to delivery.

• Experience with Salesforce or Salesforce Service Cloud is preferred.

• Background in supporting workforce optimization, HR technology, employee services, or enterprise automation initiatives is preferred.

• Familiarity with Workday, ServiceNow, knowledge management platforms, or enterprise case management systems is preferred.

• Experience working with large language models (LLMs), AI agents, and relevant AI development platforms is preferred.

• Familiarity with SQL, Python, or other scripting and data analysis tools is preferred.

• Experience in delivering conversational design documentation is preferred.

• Prior experience leading a technical project, engineering pod, or cross-functional delivery team is preferred.

• A Master's degree in Computer Science, Computational Linguistics, Engineering, Informatics, or a related field, or equivalent practical experience is preferred.

• Proficiency in the English language is required.

• Must meet US work sponsorship requirements.

🏝️ Benefits

• Dental insurance.

• Health insurance.

• Health savings account.

• Life insurance.

• Paid time off.

• Retirement plan.

• Vision insurance.

• 40 hours per week.

• 8-hour shift.

• Monday to Friday.