As an AI Solution Consultant at Bell Integration, you will be responsible for conducting in-depth analysis of Clients’ requirements for conversational AI interactions. Driving insights and providing recommendations for delivering stable and maintainable solutions and effectiveness with Bell’s  AI solutions. You will work in the AI & Data Practice as a member of the solutions team and ensure the optimal performance of our conversational AI applications.  (Currently Amelia) and the use of generative AI to improve customer experience

Conversational AI Solutioning:

• 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
• Model conversational flows through BPMN or other techniques
• 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
• Model Chat & Voice conversations
• Use Generative AI to enhance customer feedback and provide insights into their data

Generate Actionable Insights:

• Collaborate with cross-functional teams to identify opportunities for improving the conversational AI user experience and driving business impact.
• Develop and present reports, dashboards, and visualizations to communicate insights to stakeholders.
• Continuous Improvement
• Stay informed about the latest advancements in conversational AI technologies and industry best practices.
• Contribute to the continuous improvement of the conversational AI applications 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.

• Bachelor’s degree in Computer Science, Data Science, Information Technology , or related subject ( Mathematics or Physics) is required.
• 2+ years of experience in data analysis, AI analytics, or related roles, preferably within the context of conversational AI or natural language processing.
• Proficiency in data analysis tools and languages such as Python, R, SQL, or related platforms for analysing and visualizing large datasets.
• Knowledge of machine learning concepts, NLP techniques, and AI model valuation metrics is desirable.
• Knowledge of Large Language Models, retrieval-augmented generation and generative AI concepts is desirable.
• Familiarity with conversational AI platforms, chatbot frameworks, voice recognition technologies, and customer interaction analytics tools.
• Strong analytical, problem-solving, and critical thinking skills with a keen attention to detail.
• Excellent 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.
• Understanding of privacy and compliance considerations in AI data analysis, particularly in relation to customer data protection regulations.
• Knowledge of Generative AI in the Conversational AI area is a plus.
• Knowledge of software development methodologies and agile principles is beneficial.