Senior Kore.ai Developer / Conversational AI Engineer

NTT DATA Services•Pine Grove Township, PA
•Hybrid

About The Position

NTT DATA is hiring a Senior Kore.ai Developer / Conversational AI Engineer to design, develop, configure, test, deploy, and support enterprise conversational AI and chatbot solutions using the Kore.ai platform. The role develops conversational experiences with Kore.ai XO Platform capabilities such as Dialog Tasks, FAQ Skills, Knowledge AI, Search Skills, and Small Talk, and applies NLP/NLU concepts, intent modeling, entity extraction, context management, and conversation-design principles. The position builds custom integrations and application logic with JavaScript, Node.js, JSON, REST APIs, and web services. It integrates conversational solutions with enterprise systems including ServiceNow, Salesforce, Microsoft Teams, SharePoint, and Microsoft Azure services, and configures authentication mechanisms such as OAuth, SSO, SAML, and Microsoft Entra ID / Azure AD. The role also supports cloud deployments, preferably in Azure, and helps integrate generative AI capabilities where applicable. The engineer collaborates with business stakeholders and cross-functional technical teams throughout requirements analysis, solution design, development, testing, deployment, and production support. Responsibilities also include troubleshooting, reusable component development, code reviews, performance optimization, Agile participation, Git and CI/CD-based delivery, and maintaining technical and operational documentation. The role is listed as full-time and hybrid/remote; work arrangements may depend on client requirements and business needs.

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 Kore.ai XO Platform capabilities, 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, 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 issues and implement resolutions.
  • Collaborate with business stakeholders, product teams, architects, developers, and application teams to translate conversational AI requirements 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, 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.
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