Designs, builds, and maintains intelligent chatbots and virtual agents on the NICE Cognigy platform for digital chat and contact-center self-service — tuning NLU models, integrating with CRM/backend APIs, and supporting bot-to-live-agent handoffs. Requires 3–5 years of conversational AI experience.
Compensation
Not disclosed
Location
Overland Park, KS, us
Work setup
Remote
Seniority
Not specified
Employment
Not specified
Experience
3+ years
Category
Ai engineering
Posted
Skills
accessibility
agile
ai
analytics
api
automation
confluence
conversational-ai
crm
generative-ai
jira
json
llm
rest
servicenow
Must have
Bachelor's degree in IT, Computer Science, Engineering, or 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, 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 (e.g., Jira, Confluence, ServiceNow)
Nice to have
Advanced coursework or training in systems analysis, product management, or customer experience technologies
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
NICE Cognigy certifications
NiCE platform training or certification
Agile, SAFe, or product delivery certifications
Exposure to advanced NLU, LLM-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
Full description
THE POSITION:
The Conversational AI Engineer is responsible for designing, building, and supporting intelligent virtual agents using NICE Cognigy, with a focus on digital chat and conversational experiences. This role partners with business, IT, and experience design teams to create scalable, reliable chatbot and virtual assistant solutions that deflect contacts, streamline customer journeys, and integrate seamlessly with the broader contact center ecosystem. Experience with the Cognigy conversational AI platform is highly desirable to support advanced NLU, dialog orchestration, and enterprise‑grade automation use cases.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:
Design, build, test, and maintain NICE virtual agents, with a primary focus on 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 natural language understanding (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, ensuring context is preserved when escalating from bot to live agent.
Monitor and optimize bot performance using analytics, transcripts, and interaction data to improve containment and task completion.
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 all conversational AI solutions comply with security, privacy, accessibility, and compliance standards.
All other duties as assigned
It is the policy of EVERSANA to provide reasonable accommodation when requested by an employee with a disability, unless such accommodation would cause an undue hardship for EVERSANA. If reasonable accommodation is needed to perform the essential functions of your job position, please contact Human Resources.
EXPECTATIONS OF THE JOB:
Collaborate closely with Business Analysts, CX designers, product owners, and stakeholders during discovery and design workshops.
Participate in design reviews, backlog refinement, and release planning for virtual agent initiatives.
Communicate clearly with technical and non‑technical partners regarding bot capabilities, limitations, and release readiness.
Follow established change management, testing, and documentation standards for all chatbot deployments.
Conversational AI Engineer at EVERSANA (Remote) — aijobsearch
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.
Contribute to continuous improvement by identifying opportunities to expand self‑service and automation use cases.
Travel: N/A (or limited travel as needed for workshops, vendor sessions, or team meetings)
Hours: 40 hours per week, Monday–Friday; occasional after‑hours support may be required for major releases or critical production issues
The above list reflects the general details necessary to describe the expectations of the position and shall not be construed as the only expectations that may be assigned for the position.
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:
The requirements below are representative of the experience, education, knowledge, skills, and abilities required to perform this job effectively.
Education
Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience and/or Training
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, 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.
Technology / Equipment
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 (e.g., Jira, Confluence, ServiceNow).
PREFERRED QUALIFICATIONS:
The qualifications below are preferred and may be used to distinguish top candidates.
Education
Bachelor’s degree in a technical or analytical discipline.
Advanced coursework or training in systems analysis, product management, or customer experience technologies.
Experience and/or Training
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..
Licenses/Certificates preferred:
NICE Cognigy certifications.
NiCE platform training or certification.
Agile, SAFe, or product delivery certifications.
Technology / Equipment
Exposure to advanced NLU, LLM‑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.
PHYSICAL/MENTAL DEMANDS AND WORKING ENVIRONMENT:
The physical and mental requirements along with the work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.
Office: While performing the essential functions of this job the employee is frequently required to reach, grasp, stand and/or sit for long periods of time (up to 90% of the shift), walk, talk and hear; occasionally required to lift and/or move up to 25 pounds. The noise level in the work environment is usually moderately quiet, with frequent interruptions and multiple demands.
OUR CULTURAL BELIEFS:Patient Minded I act with the patient’s best interest in mind.
Client Delight I own every client experience and its impact on results.
Take Action I am empowered and hold myself accountable.
Embrace Diversity I create an environment of awareness and respect.
Grow Talent I own my development and invest in the development of others.
Win Together I passionately connect with anyone, anywhere, anytime to achieve results.
Communication Matters I speak up to create transparent, thoughtful, and timely dialogue.
Always Innovate I am bold and creative in everything I do.
All your information will be kept confidential according to EEO guidelines.
Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.
EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, it represents the low and high end of the salary range for this position and is not applicable to locations outside of the U.S. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). This role is eligible for hire in select U.S. locations based on business and operational considerations. For a full list of locations, visit . More information about EVERSANA’s benefits package can be found at . EVERSANA reserves the right to modify this base salary range and benefits at any time.
From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.
Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for EVERSANA. The policy regarding requests for reasonable accommodations applies to all aspects of the hiring process. If reasonable accommodation is needed to participate in the interview and hiring process, please contact us at applicantsupport@eversana.com.