You will design and implement end-to-end conversational AI architectures, including LLM-based systems and multi-channel frameworks. Additionally, you will lead technical development, establish performance KPIs, and provide mentorship to AI engineers.
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.
Requirements
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
Preferred Qualifications
Bachelor’s
or Master’s degree in Computer Science, Artificial Intelligence, Data
Science, or related field.
10+ years of overall experience with at least 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.
Benefits
What We Offer:
Competitive salaries and comprehensive health benefits
Flexible work hours and remote work options
Professional development and training opportunities
“I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!”
— Sarah J.
·
Marketing Manager
★★★★★
Verified
