Conversational AI architect
Description
Connection is everything. It drives us to innovate, explore, and stay
close to what matters to us most. At Bell, we’re building a more
connected future through world-class networks, AI-powered solutions, and
digital experiences that elevate how people live, work, and play every
day.
We believe in empowering people. That’s why we equip our teams with
cutting-edge technology, AI tools, and a collaborative environment that
supports creativity and growth. Want to be part of a diverse team where
your work makes a real impact? If you’re inspired by innovation that
advances how people connect and transforms what’s possible, you belong
on #TeamBell.
Summary
Bell is currently seeking an experienced Conversational AI Architect to
work as part of an innovate and customer-focused team. You will utilize
your passion and expertise to architect, design and deliver effective
conversational interaction experiences in virtual assistants across
multiple platforms. Working within an Agile framework, you will
collaborate with cross-functional teams to meet the evolving needs of
our customers.
Key Responsibilities
- Design end-to-end architectures for conversational AI platforms,
including chatbots, voice bots, and AI assistants.
- Define and implement LLM-based architectures, including
orchestration layers, RAG, and knowledge retrieval systems.
- Lead integration and development of scalable, multi-channel
conversational frameworks (web, mobile, messaging, IVR).
- Establish monitoring, analytics, and KPIs to ensure performance,
accuracy, user satisfaction, and system reliability.
- Collaborate with product owners, UX, and conversational design teams
to define best practices for dialogue design, tone, fallback, and
human escalation.
- Ensure solutions are secure, scalable, and compliant with enterprise
governance standards.
- Provide technical mentorship to AI engineers and developers.
- Drive architectural standards, documentation, and best practices.
Critical Qualifications
- Expert-level knowledge of Natural Language Understanding and Large
Language Models.
- 5+ years of experience working with design platforms (e.g.
Dialogflow CX)
- Experience working with data interchange formats, preferably JSON
- Knowledge of cloud computing services (GCP, Azure, etc.)
- Experience with AI/ML modeling would be a bonus
- Knowledge of the SAFE 5 Agile Operating Model, including the PI
Planning Process
- Experience creating process-flow design diagrams to present to
stakeholders to achieve buy-in
- Excellent written and verbal communication skills
- Experience conducting rigorous quality assurance and end-to-end
conversational flow testing
- Ability to interpret insights from key performance indicators and
customer-journey analysis to identify opportunity for continuous
improvement
- Passion for AI-powered language models / chat and voice bots, with a
desire to stay current on evolving AI trends
- Knowledge of web accessibility principles
- Bilingual (French / English) would be an asset
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial
Intelligence, Data Science, or related field.
- 5+ years of experience designing and maintaining customer-centric
conversational experiences
- Expert in NLU and LLM design, preferably using Dialogflow CX or a
similar platform
- Expertise in Agentic AI frameworks
- Knowledge of JIRA for cross-functional collaboration
- Experience building presentation material and presenting to
executive audiences
- Experience with Design Thinking, user studies, or usability testing
- Familiarity with voice AI technologies and speech recognition
- Ability to use analysis to set performance targets, leverage
insights from reporting, and prioritize feature backlog
- Experience working within a telecommunications environment would be
a bonus.