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Open nowPosted 3 hours agoWe saw it 1 min after it went up

Conversational AI & NLP Specialist

Linda Werner & Associates34 open roles

Where
United States
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Your applicationOpen nowConversational AI & NLP SpecialistLinda Werner & Associates · United States

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Linda Werner & Associates postings stay open a median of 29 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 3 hours ago

Linda Werner & Associates median: 29 days open

The posting

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 recommendations, and evaluation results to both technical and nontechnical audiences.
  • Guide stakeholders through solution demonstrations, pilot results, and implementation decisions.
  • Contribute to project roadmaps, delivery estimates, prioritization, and execution.

AI Evaluation, Testing & Continuous Improvement

  • Develop and execute evaluation strategies to assess AI solution accuracy, reliability, usability, and business effectiveness.
  • Conduct functional testing, quality assurance, usability testing, A/B testing, and pilot evaluations as appropriate.
  • Establish measurable success criteria and performance indicators for AI solutions.
  • Identify potential 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.

Required Qualifications

  • 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.
  • Proven ability to work directly with engineering teams while effectively communicating with 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)
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