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EVERSANA

Commercial services for pharmaceutical lifecycle management

Conversational AI Engineer

AI Application EngineeringPosted on Nov 10
Full-timeOverland Park, KS, USA$100k - $125k /yr

About the Job

Requirements

  • Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 3–5 years of experience developing or supporting conversational AI, chatbots, or virtual assistant solutions.
  • Hands-on experience building chatbots using NICE Cognigy or comparable virtual agent platforms.
  • Strong understanding of conversational design, natural language understanding (NLU) concepts, intent modeling, and dialog management.
  • Experience integrating chatbots with enterprise systems using APIs and web services.
  • Experience supporting solutions in a production, enterprise IT environment.
  • Experience with chatbot development tools, NLU platforms, and analytics dashboards.
  • Familiarity with REST APIs, JSON payloads, and system integrations.
  • Experience using ticketing, backlog, and documentation tools such as Jira, Confluence, or ServiceNow.

Responsibilities

  • Analyze business requirements and understand conversation flows, including flow diagrams, dialog logic, and acceptance criteria.
  • Design, build, test, and maintain NICE virtual agents, primarily for digital chat and self-service use cases.
  • Develop and manage conversation flows, intents, entities, dialog logic, and handoff scenarios to live agents across voice and digital channels.
  • Configure and tune NLU models to improve intent recognition, accuracy, and customer experience.
  • Implement and maintain integrations between Cognigy and backend systems, including CRM, knowledge bases, APIs, and automation services.
  • Support human handoff and omnichannel continuity, preserving context when escalating from a bot to a live agent.
  • Monitor and optimize bot performance using analytics, transcripts, and interaction data to improve containment and task completion.
  • Manage releases across development, quality assurance, user acceptance testing, and production using snapshots/packages, version control, release notes, and rollback plans; support user acceptance testing, go-live, and post-deployment monitoring.
  • Troubleshoot and resolve production issues related to bot behavior, NLU accuracy, integrations, and platform performance.
  • Maintain detailed technical documentation for conversation designs, configurations, and integrations.
  • Ensure conversational AI solutions comply with security, privacy, accessibility, and compliance standards.
  • Collaborate with Business Analysts, customer experience designers, product owners, and stakeholders during discovery and design workshops.
  • Participate in design reviews, backlog refinement, and release planning for virtual agent initiatives.
  • Communicate bot capabilities, limitations, and release readiness to technical and non-technical partners.
  • Follow established change management, testing, and documentation standards for chatbot deployments.
  • Stay current on advancements in conversational AI, NLU, generative AI, and chatbot design best practices.
  • Support production releases and provide after-hours support as needed for critical issues.
  • Identify opportunities to expand self-service and automation use cases.

Desired Qualifications

  • Hands-on experience with the Cognigy conversational AI platform.
  • Experience supporting voice and digital virtual agents, including omnichannel handoff.
  • Experience tuning NLU models using real interaction data and transcripts.
  • Experience in large-scale or regulated contact center environments.
  • Familiarity with AI-assisted agent tools and downstream analytics.
  • Exposure to advanced NLU, large language model-based conversational enhancements, or generative AI use cases.
  • Experience analyzing bot performance metrics and interaction outcomes.
  • Familiarity with security, privacy, and compliance considerations for customer interaction data.
  • NICE Cognigy certifications.
  • NICE platform training or certification.
  • Agile, SAFe, or product delivery certifications.
  • Advanced coursework or training in systems analysis, product management, or customer experience technologies.

About the Company

EVERSANA

Commercial services for pharmaceutical lifecycle management

EVERSANA provides integrated commercial services to pharmaceutical and biotech companies across the product lifecycle. It helps with drug pricing, market access, reimbursement, patient adherence, and product delivery through services such as consulting, market access strategies, patient services, and field deployment, delivered via a global network of 30+ locations. It differentiates itself with end-to-end lifecycle support, a broad global footprint, and recognized industry credentials, enabling customized, scalable solutions for both large pharma and smaller biotech clients. Its goal is to help clients bring products to market, optimize pricing and access, improve adherence, and ensure efficient delivery to improve patient outcomes and commercial performance.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Chicago, IL
Founded
2018

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