Cognitive AI Consultant

2 weeks ago

Austin, United States Bell Integration - Driving Digital Transformation Full time

We are recruiting for a passionate Cognitive AI Consultant to join an expanding team to support the evolution of our cutting-edge conversational AI solutions, using LLM and associated techniques to drive faster delivery and more robust solutions to our clients.


You will work in the AI & Data Practice as a member of the solutions team and ensure the optimal performance & delivery of our conversational AI applications (Amelia , Kore , Omilia) and the use of generative AI to improve customer & developer lo code experience.


The Cognitive Ai Consultant at Bell will work in a dynamic and collaborative environment with opportunities for professional growth and skill development. The role will may involve collaboration with cross-functional teams, engagement with external partners or clients, and participation in AI-related industry events or conferences. Bell Integration is committed to fostering a diverse and inclusive workplace and encourages individuals from all backgrounds to apply.


Responsibilities:

Conversational AI Solutioning

  • Develop Conversational Flows that support the clients Use Cases using the lo-code capabilities of the CAI platform ( Amelia, Kore, Omilia or other).
  • Enhance the conversational flow through code or other techniques as supported by the CAI application.
  • Support the Tech BA and conversational designers where appropriate.
  • Develop automated reusable tests as part of the development lifecycle to demonstrate success and for regression testing.
  • Model conversational flows through drawing tools or the application CAI’s toolset.
  • Utilize data analysis tools and techniques to review and analyse conversational.
  • AI interactions across various channels (chat, voice, messaging platforms).
  • Identify NLU Routes / Intents for use in conversations where required using the toolsets provided in the Conversational AI platform.
  • Model Entity usage and prediction of the tools understanding of the conversation.
  • Support the integration of the platform into downstream systems that will provide the answers to requests or update request based on capture information.


Generate Actionable Insights:

  • Collaborate with cross-functional teams to identify opportunities for improving the conversational AI user experience and driving business impact.
  • Stay informed about the latest advancements in conversational AI technologies and industry best practices.
  • Contribute to the continuous improvement of the AI solutions development and delivery methods by providing feedback and recommendations for future developments. Participate in the development of AI training data sets and annotation guidelines to improve the accuracy and relevance of the AI models.


Stakeholder Collaboration:

  • Collaborate with the customer success team and assist in addressing customer feedback, inquiries, and issues related to conversational AI interactions.
  • Engage with internal stakeholders to gather requirements, understand business objectives, and align AI strategies with organizational goals.


Experience/Skills:

  • Bachelor’s degree in Computer Science, Data Science, Information Technology, or related subject is required.
  • Strong Technical background using common development software e.g. Java , JS, Groovy
  • Familiarity with conversational AI platforms, chatbot frameworks, voice recognition technologies, and customer interaction analytics tools.
  • Understanding of Integrations / API and how to test and implement.
  • Knowledge of Behavioural Driven Development a plus.
  • Bell development is based around Agile ( Scrum or Kanban) knowledge of either of these is a plus.
  • Experience in data analysis, AI analytics, or related roles, preferably within the context of conversational AI or natural language processing.
  • Knowledge of machine learning concepts, NLP techniques, and AI model valuation metrics is desirable.
  • Strong analytical, problem-solving, and critical thinking skills with a keen attention to detail.
  • Strong communication and presentation skills to articulate complex data findings and insights to both technical and non-technical stakeholders.
  • Ability to work collaboratively in a cross-functional environment and adapt to evolving requirements and priorities.


Additional Requirements:

  • Experience with cloud-based AI services (e.g. Azure, AWS, Google Cloud) and data analysis on cloud platforms is a plus.
  • Knowledge of Generative AI in the Conversational AI area is a plus.
  • Knowledge of software development methodologies and agile principles is beneficial.

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