Conversational AI Chat Bot Developer, Cognigy

About the role

The position centers on conversational AI solutions within a global engagement and growth organization. You will build and deploy chat bots for client projects using Cognigy and NICE Proactive AI Agent. Success supports an employee-first process that aims to create an amazing customer experience.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

What you'll do

Solutions for client projects are enhanced to handle conversations through Cognigy and NICE Proactive AI Agent.

JavaScript software is improved by the project team to align with evolving client requirements.

Projects are coded and tested to meet quality standards and delivery schedules.

High-quality software is delivered on time to satisfy client expectations and project requirements.

Meetings and training are attended to maintain alignment with project goals and team processes.

System analysis and project management duties are performed to drive projects toward successful completion.

Objectives and approaches for engagements are defined broadly to adapt to client needs.

Code errors are identified and fixed during development and for future concept implementations.

Requirements

The posting states a bachelor's degree requirement. Professional experience of 3 years or more is required for building and delivering Natural Language Processing systems, including Large Language Models or Generative AI solutions.

Software development experience of 3 years or more includes design, custom development in JavaScript, Python, Java, and testing of real-time systems.

JavaScript expertise of 5 years or more is necessary for this role.

Familiarity with products such as DialogFlow, Kore.ai, Cognigy, Amazon Lex, or Omilia is required.

Hands-on experience with modern chat bot creation and AI Virtual Agents or Agent Assist is required.

Contact Center as a Service, NICE CXone and CXone Studio experience is beneficial.

A team-player mentality with the ability to mentor team members is required.

Thriving in a fast-paced environment and adapting to evolving project demands is expected.

Practical notes

Work may involve remote or hybrid arrangements based on team needs.

TTEC Digital uses AI tools to assist with screening applications, but these do not make final hiring decisions.

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

Conversational AI tools such as Cognigy and NICE CXone streamline customer interactions.

Natural Language Processing enables systems to understand and respond to human language.

Large Language Models power many modern generative AI applications.

Contact center platforms integrate voice, chat, email, and SMS across multiple channels.

Agile methods support iterative development, testing, and delivery of software features.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.