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Software Architect - AI Accelerated Engineering Lead / Architecte Logiciel
Slalom
Montreal, Quebec
Full-time
Architecte Logiciel – Responsable de l’Ingénierie Accélérée par l’IA
Conversational AI Architect
Quantiphi
Canada
Full-time
…High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Software Architect - AI Accelerated Engineering Lead
Slalom
Calgary, AB
Full-time
As a Software Architect, you will own the architecture of client solutions while pioneering the next generation of AI-empowered software development. You’ll lead teams in adopting AI-first…
Technical Architect - Conversational AI
Quantiphi
Canada
Full-time
…High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Architect - Conversational AI
Quantiphi
Canada
Full-time
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators
Associate Director - Data & AI Solutions Architect
RBC
Toronto, Ontario
Full-time
Proven experience in architecting agentic architectures, including multi agent systems, MCP integrations and autonomous execution workflows.
Associate Director - Data & AI Solutions Architect
Royal Bank of Canada
Toronto, Ontario
Full-time
Proven experience in architecting agentic architectures, including multi agent systems, MCP integrations and autonomous execution workflows.
AWS Migration and Agentic IT / Solution Architect
Accenture
Toronto, ON
Full-time
As a Solution Architect, you will play a key role in advancing cloud and AI transformation initiatives by leading solution design for enterprise AWS migration and Agentic AI programs. You…
AI and Data - Data Architect (MS Fabric)
EY
Vancouver, BC
Full-time
We are seeking a Manager – Data Architect to join our AI & Data practice. This role is focused on designing and delivering agentic, intelligent, and data‑driven solutions built on Microsoft…
AI and Data - Data Architect (MS Fabric)
EY
Vancouver, BC · Toronto, ON
We are seeking a Manager – Data Architect to join our AI & Data practice. This role is focused on designing and delivering agentic, intelligent, and data‑driven solutions built on Microsoft…
AI Security Associate Architect
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
Experience with security architecture for AI, generative AI, large language models, or agentic systems, including model governance, data protection, and secure tool integration.
Lead Solution Architect, Customer Analytics, EDW & AI
McKesson
Mississauga, ON
Full-time
The successful candidate will bring deep experience in data analytics, large-scale EDW integrations, cloud-native architecture, software delivery, and enterprise AI solutions, including…
Vice President, AI Engineer
BMO Capital Markets
Toronto, ON
Part-time
…and deploy next-generation AI systems with a strong focus on Agentic AI, AI Platforms, AI Harnesses, Generative AI, and Large Language Models…
Vice President, AI Engineer
BMO
Toronto, ON · FCP
…and deploy next-generation AI systems with a strong focus on Agentic AI, AI Platforms, AI Harnesses, Generative AI, and Large Language Models…
Solution Consultant - CCaaS, NICE CXone & Cognigy
Connex Telecommunications Inc.
Richmond Hill, Ontario
An hands-on Solution Consultant who designs and delivers next generation contact center and agentic AI experiences on NiCE CXone and Cognigy, with growing depth in Agentic AI platforms. You…
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Build transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks…
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
Full-time
Build transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks…
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
Full-time
Build transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks…
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Build transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks…
AI-First Quality Engineering Lead
Royal Bank of Canada
Toronto, ON
Full-time
- Build AI-native automation frameworks - architect test ecosystems that leverage LLMs, generative AI, and intelligent agents to autonomously generate, execute, and triage test cases
AI-First Quality Engineering Lead
RBC
Toronto, ON
Full-time
- Build AI-native automation frameworks - architect test ecosystems that leverage LLMs, generative AI, and intelligent agents to autonomously generate, execute, and triage test cases
Business Consultant - KYC & Client Lifecycle Management
NTT DATA Services
Toronto, ON
Contribute to Generative AI and Agentic AI initiatives and identify opportunities to incorporate AI capabilities into enterprise solutions.
AI and Data - Manager - AI Engineer
EY
Toronto, ON
You will work across complex client engagements designing and implementing AI/ML and agentic AI solutions end to end. You will work closely with business stakeholders, AI Architect, AI…
Architect - Machine Learning
Quantiphi
Canada
Full-time
…High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Senior Solution Architect
SPECTRAFORCE
Toronto, ON
Contract
We are seeking a senior Solution Architect to lead the transformation of banking operations through AI, Generative AI, Automation, and Process Modernization. This role will partner with…

Quantiphi

Architect - Conversational AI

Canada

Job type: Full-time

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

The role involves managing the complete software development lifecycle (SDLC) of products, including solutioning, engineering, testing, and maintenance. Additionally, it requires client management, guiding technology evaluations, and inspiring teams to solve complex problems.

Requirements

Candidates should have experience with AI bot platforms or software development in NodeJs or Python, along with strong communication and analytical skills. Knowledge of natural language processing and machine learning concepts is essential, along with experience in architecting solutions.

Experience

5 to 10 years

Working hours

40 hours per week

Work arrangement

On-site

Skills

AI Bot Platforms
NodeJs
Python
Communication
Analytical Skills
Team Management
Business Analysis
Natural Language Processing
Machine Learning
REST API
High-Performance Systems
Solution Architecture
Cloud Deployments
Conversational Interfaces
Database Management
Voice Processing

Visa sponsorship

Not detected in the job text

Keywords

AI
Conversational AI
Digital Engineering
Cloud Computing
Data Engineering
Machine Learning
Natural Language Processing
DialogFlow
Microsoft Bot Framework
Amazon Lex
IBM Watson
Python
NodeJs
Agile Development
REST API
Cloud Platforms
Database Management
Voice Processing
Sentiment Analysis
Speech Recognition
Text to Speech
Training
Continuous Learning
Technical Leadership
Project Management
Client Management
Team Management
Business Analysis
Quantitative Analysis
High-Performance Systems

Original job description

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI - driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value - not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We have been recognized with:

17x Google Cloud Partner of the Year awards in the last 8 years
3x AWS AI/ML award wins
3x NVIDIA Partner of the Year titles
2x Snowflake Partner of the Year awards
Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators
We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023

For more details, visit: Website or LinkedIn Page

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

Job Description:

Responsibilities

Technical Project Delivery:
Own the complete SDLC of our product(s) by managing the solutioning, engineering, testing, release and maintenance
Lead engagements with multiple work-streams; prepare project plans and manage deliverables
Guide and help team members to debug and solve technical problems
Review and perform code walkthrough and quality reviews
Client Management:
Managing customer communication & relationships
Guide the client on technology evaluation, technical thought leadership and direction for Conversational AI projects
Constantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goals
Showcase thought leadership on technology roadmaps, agile development methodologies and best practices
Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions
Team management:
Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers
Ensure proper skill development of team members
Travel to customer sites, conferences, and other related events as required

Required Skills:

Experience with
AI Bot platforms, such as DialogFlow/API.AI, Cloud ML, Microsoft Bot Framework and Azure Cognitive Services, Amazon Lex, IBM Watson, Wit.ai, Salesforce Einstein, Rasa etc. (as a Project Manager/Analyst/Consultant)

Software and Product Development on languages like NodeJs, Python etc.
Excellent communication, articulation, abstraction, analytical and presentation skills
Ability to work with minimal supervision in a dynamic and time sensitive work environment
Team management experience is must
Excellent aptitude in business analysis and awareness of quantitative analysis techniques
Knowledge of one of NodeJS or Python is a must
Understanding of Natural Language Processing (NLP) and supervised Machine Learning (ML) concepts (such as vectorization, N-gram, classification, clustering, overtraining etc.)
Experience with deploying machine learning algorithms as REST API based services
Experience working with scalable, high-performance systems
Experience in architecting solutions and integrations with multiple technologies and systems.

Nice to have skills:

Strong understanding of the NLP space (natural language understanding, sentiment analysis, personality insight etc.), conversational interfaces, and leveraging existing services and libraries (integration, configuration, training, continuous learning)
Well versed with voiced based processing (text to speech, speech to text)
Experiences with Databases – relational and non-relational
Experience in the Cloud deployments on GCP, AWS or Azure

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