Senior Kore.ai Developer / Conversational AI Engineer (FTE)

NTT DATA Services•Pine Grove Township, PA

4d•Hybrid

About The Position

NTT DATA is hiring a Senior Kore.ai Developer / Conversational AI Engineer to develop and support enterprise conversational AI and chatbot solutions using the Kore.ai platform. The role includes building conversational experiences with Kore.ai XO Platform capabilities, designing NLP/NLU-based flows, creating custom integrations and application logic, and integrating solutions with enterprise platforms and cloud services. The engineer will collaborate with stakeholders and cross-functional technology teams throughout requirements analysis, solution design, development, testing, deployment, and production support. The role also supports reusable components and conversational patterns, platform improvements, Agile delivery, DevOps practices, technical documentation, and applicable Generative AI capabilities. The position is listed as full-time and hybrid/remote, with work arrangements subject to client requirements and possible in-office attendance for employees near an NTT DATA office or client site.

Requirements

Minimum 5 years of overall IT experience, including hands-on experience developing solutions using the Kore.ai platform.
Minimum 5 years of hands-on experience designing, developing, deploying, and supporting enterprise conversational AI and chatbot solutions.
Minimum 5 years of experience with the Kore.ai XO Platform, including Dialog Tasks, FAQ Skills, Knowledge AI, Search Skills, and Small Talk.
Minimum 5 years of strong understanding of NLP/NLU concepts, including intent modeling, entity extraction, conversational flows, and conversation design.
Minimum 5 years of hands-on experience with JavaScript, Node.js, JSON, REST APIs, and web-service integrations.
Minimum 5 years of experience integrating Kore.ai solutions with enterprise applications such as ServiceNow, Salesforce, Microsoft Teams, SharePoint, and/or Microsoft Azure services.
Minimum 5 years of experience implementing authentication and identity-management mechanisms including OAuth, SSO, SAML, and Microsoft Entra ID / Azure AD.
Minimum 5 years of experience working with cloud platforms, preferably Microsoft Azure.
Minimum 5 years of experience with Git, CI/CD pipelines, DevOps practices, and Agile software-development methodologies.
Minimum 5 years of experience troubleshooting conversational AI applications, integrations, APIs, authentication, and production issues.
Strong analytical, troubleshooting, problem-solving, and communication skills.
Ability to collaborate effectively with business stakeholders, architecture teams, developers, product teams, and other cross-functional technology teams.
Bachelor's degree in Computer Science, Information Technology, or a related field.

Nice To Haves

Experience with Generative AI solutions, including Azure OpenAI, Microsoft Copilot, or Retrieval-Augmented Generation (RAG)-based architectures.
Experience integrating enterprise conversational AI solutions with Large Language Models (LLMs) and generative AI services.
Kore.ai Developer Certification.
Microsoft Azure AI, Cloud, or related technical certifications.
Experience supporting large-scale enterprise AI and automation initiatives.
Experience developing reusable conversational AI frameworks, components, and integration patterns.

Responsibilities

Design, develop, configure, test, deploy, and support enterprise conversational AI and chatbot solutions using the Kore.ai platform.
Develop conversational experiences using Kore.ai XO Platform capabilities, including Dialog Tasks, FAQ Skills, Knowledge AI, Search Skills, and Small Talk.
Design and implement conversational flows using NLP/NLU concepts, intent modeling, entity extraction, context management, and conversation-design principles.
Develop custom integrations and application logic using JavaScript, Node.js, JSON, REST APIs, and web services.
Integrate Kore.ai solutions with enterprise platforms and applications such as ServiceNow, Salesforce, Microsoft Teams, SharePoint, and Microsoft Azure services.
Configure and support authentication and authorization mechanisms including OAuth, Single Sign-On (SSO), SAML, and Microsoft Entra ID / Azure AD.
Develop and support conversational AI solutions deployed in cloud environments, preferably Microsoft Azure.
Troubleshoot chatbot, integration, API, authentication, NLP/NLU, and production-related issues and implement appropriate resolutions.
Collaborate with business stakeholders, product teams, architects, developers, and application teams to understand requirements and translate them into technical solutions.
Participate in requirements analysis, solution design, development, testing, deployment, and production-support activities.
Develop reusable components, integrations, and conversational patterns to improve scalability and consistency across enterprise chatbot solutions.
Participate in code reviews, defect resolution, performance optimization, and platform enhancement activities.
Follow Agile development practices and participate in sprint planning, backlog refinement, daily stand-ups, demos, and retrospectives.
Use Git, CI/CD pipelines, and DevOps practices to manage source code, application builds, testing, and deployments.
Support integration of Generative AI, Azure OpenAI, Copilot, Retrieval-Augmented Generation (RAG), or related AI capabilities where applicable.
Maintain technical documentation, solution designs, integration specifications, and operational support documentation.