Conversational AI & NLP Specialist

The posting, as Linda Werner & Associates wrote it

We are seeking an experienced Conversational AI & NLP Specialist to support the design, development, and delivery of intelligent AI solutions that improve employee experiences and optimize business operations.

This highly collaborative, hands on role combines conversational AI, natural language processing (NLP), machine learning, workflow automation, and technical project leadership. The ideal candidate brings deep experience building and evaluating AI powered solutions, translating business challenges into scalable technical capabilities, and partnering with engineering and business stakeholders to drive meaningful outcomes.

This individual will play a key role in a workforce optimization initiative involving Salesforce and AI technologies while helping advance intelligent self service capabilities across a global organization.

Key Responsibilities

Conversational AI & Technical Solution Development

Design, develop, evaluate, and optimize conversational AI solutions, intelligent assistants, and automated workflows that improve employee support and operational efficiency.

Apply NLP techniques, machine learning methods, statistical analysis, and text representation approaches to support classification and intelligent automation.

Partner with engineers and applied research scientists to develop scalable algorithms and reliable AI systems.

Collaborate with technical teams to integrate AI capabilities with APIs, databases, enterprise applications, and existing business systems.

Establish technical direction and best practices for conversational AI solutions, including architecture, evaluation, and performance optimization.

Support the development and implementation of AI proof of concepts, pilots, and production solutions.

Business Process Optimization & Workflow Automation

Analyze complex business processes to identify opportunities for AI driven improvements, automation, and operational efficiency.

Evaluate existing workflows, dependencies, decision paths, and exceptions to determine appropriate automation strategies.

Support workforce optimization initiatives involving Salesforce and related enterprise technologies.

Translate business objectives into technical requirements, functional specifications, and actionable implementation plans.

Develop detailed process flows, conversational diagrams, documentation, and user stories to guide solution development.

Prioritize technical initiatives based on business value, feasibility, available resources, and expected impact.

Cross Functional Leadership & Stakeholder Collaboration

Serve as a key liaison between engineering teams, business stakeholders, product partners, and technical leadership.

Lead project workstreams and coordinate cross functional teams to deliver AI and automation solutions.

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

Communicate complex AI concepts, technical recommend
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business stakeholders.

Experience evaluating business processes and identifying opportunities for intelligent automation and workflow optimization.

Ability to develop detailed 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.

Preferred Qualifications

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 working with large language models (LLMs), AI agents, and related AI development platforms.

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

Experience delivering conversational design documentation, including detailed 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.

Location : Remote - United States

Role type: Contract 9 Month Position

Expected hours : 40 per week

Benefits

• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Retirement plan
• Vision insurance

Schedule

• 8 hour shift
• Monday to Friday

Application Question(s)

• Do you or will you in the future require any sponsorship to work in the US?

Language

• English (Required)