Conversational AI & NLP Specialist

Linda Werner & Associates

1d•Remote

About The Position

The Conversational AI & NLP Specialist supports the design, development, evaluation, and delivery of intelligent AI solutions that improve employee experiences and optimize business operations. This hands-on, collaborative role combines conversational AI, natural language processing, machine learning, workflow automation, and technical project leadership. The specialist translates business challenges into scalable technical capabilities and works with engineering teams, business stakeholders, product partners, and technical leadership to deliver effective outcomes. The role contributes to a workforce optimization initiative involving Salesforce and AI technologies and helps advance intelligent self-service capabilities across a global organization. Responsibilities include developing and optimizing AI assistants and automated workflows; analyzing business processes for automation opportunities; translating business goals into technical requirements and implementation plans; coordinating cross-functional delivery; and evaluating AI solutions for accuracy, reliability, usability, and business impact. This is a nine-month contract position, remote within the United States, with an expected 40-hour workweek. The stated schedule is an eight-hour shift, Monday through Friday. English is required.

Requirements

At least 5 years of hands-on experience developing, implementing, or optimizing conversational AI, NLP, or related AI solutions.
Demonstrated experience building AI assistants, chatbots, intelligent workflows, or similar AI-powered capabilities.
Strong understanding of conversational AI architecture, machine learning concepts, NLP techniques, and AI evaluation methodologies.
Experience translating complex business requirements into technical specifications and scalable solutions.
Ability to work directly with engineering teams and communicate effectively with business stakeholders.
Experience evaluating business processes and identifying opportunities for intelligent automation and workflow optimization.
Ability to develop process documentation, workflow diagrams, functional requirements, and technical specifications.
Understanding of user-centered design principles, conversational experiences, and UX best practices.
Experience 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 through delivery.
English language proficiency.

Nice To Haves

Experience with Salesforce or Salesforce Service Cloud.
Experience supporting workforce optimization, HR technology, employee services, or enterprise automation initiatives.
Familiarity with Workday, ServiceNow, knowledge management platforms, or enterprise case management systems.
Experience with large language models (LLMs), AI agents, and related AI development platforms.
Familiarity with SQL, Python, or other scripting and data analysis tools.
Experience creating conversational design documentation, including dialogue flows, edge cases, versioning, and metadata.
Prior experience leading a technical project, engineering pod, or cross-functional delivery team.
Master's degree in Computer Science, Computational Linguistics, Engineering, Informatics, or a related field, or equivalent practical experience.

Responsibilities

Design, develop, evaluate, and optimize conversational AI solutions, intelligent assistants, and automated workflows.
Apply NLP techniques, machine learning methods, statistical analysis, and text representation approaches to classification and intelligent automation.
Partner with engineers and applied research scientists to develop scalable algorithms and reliable AI systems.
Integrate AI capabilities with APIs, databases, enterprise applications, and existing business systems.
Establish technical direction and best practices for conversational AI architecture, evaluation, and performance optimization.
Support development and implementation of AI proof of concepts, pilots, and production solutions.
Analyze business processes, workflows, dependencies, decision paths, and exceptions to identify automation and efficiency opportunities.
Support workforce optimization initiatives involving Salesforce and related enterprise technologies.
Translate business objectives into technical requirements, functional specifications, and implementation plans.
Develop process flows, conversational diagrams, documentation, and user stories.
Prioritize technical initiatives based on business value, feasibility, resources, and expected impact.
Act as a liaison among engineering teams, business stakeholders, product partners, and technical leadership.
Lead project workstreams and coordinate cross-functional teams delivering AI and automation solutions.
Facilitate requirements gathering, solution reviews, technical discussions, and implementation planning.
Communicate AI concepts, technical recommendations, and evaluation results to technical and nontechnical audiences.
Guide stakeholders through solution demonstrations, pilot results, and implementation decisions.
Contribute to project roadmaps, delivery estimates, prioritization, and execution.
Develop and execute evaluation strategies for AI solution accuracy, reliability, usability, and business effectiveness.
Conduct functional, quality assurance, usability, A/B, and pilot testing as appropriate.
Establish measurable success criteria and performance indicators for AI solutions.
Identify failure scenarios, edge cases, and workflow exceptions to improve system performance.
Analyze testing outcomes and user feedback to guide enhancements and continuous improvement.
Promote responsible, user-centered AI practices that support secure, reliable, and scalable solutions.