Overview: 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.
This is a hybrid position in Valencia, with max 3 days per week in the office.
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 requests 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.
Qualifications: Bachelor's degree in Computer Science, Data Science, Information Technology, or related subject is required.
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.
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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