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Added 1 day ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Build in Python and, where useful, other languages to deliver machine learning systems, APIs, evaluation harnesses, retrieval pipelines, agent workflows, and production services
Added 1 day ago
PC
Financial Instruments Valuation and Market Risk Manager
Pwc Canada
Toronto, ON · Montreal, QC
- Full-time
Assisting in the development of leading edge GenAI solutions that transform the delivery of these services, and provide GenAI advice to our clients.
Added 1 day ago
D
GenAI & Python Specialist - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
Deloitte passively is seeking an experienced GenAI & Python Specialist to join our dynamic Operate team on a 1‑year fixed term employment basis. In this role, you will design, build, and…
Added 1 day ago
T
Data Analytics Associate, CIB Business Management
TD
Toronto, ON
- Full-time
Prepare, transform, validate, and reconcile complex data from multiple sources using SQL, Python, Databricks, and related analytics platforms.
Added 1 day ago
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Cloud Architect
Hays
Toronto, ON
- Contract
Own the target-state architecture and technology governance for enterprise AI and GenAI solutions on Azure.
Added 1 day ago
A
CCaaS Developer
Accenture
Montreal, QC
- Full-time
A hands-on CCaaS Developer with deep technical expertise in Amazon Connect and Google Cloud Contact Center AI (CCAI). You are passionate about building scalable, intelligent customer…
Added 1 day ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
…and you will measure your success in platform reliability, developer productivity, and dollars…
Added 1 day ago
Applied Scientist, ITA-Global Hiring Science
Amazon
Vancouver, BC
- Design and implement advanced AI models using the latest LLM and GenAI technologies to develop fair and accurate machine learning models for hiring.
Added 1 day ago
IS
Junior Software Engineer
Iris Software Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a Junior Software Engineer with a strong Computer Science background and exposure to Generative AI (GenAI) technologies. The candidate will support the design, development,…
Added 1 day ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
Provide hands-on technical leadership in Python, including proficiency with ML, GenAI, and LLM frameworks (TensorFlow, PyTorch, HuggingFace, LangChain, etc.).
Added 1 day ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
…requiring deep expertise in Snowflake, SQL, Matillion/dbt, AWS, and Python, along with the ability to own data products end to end - from architecture and design through development,…
Added 1 day ago
D
Full Stack Developer (Java/Python + Gen AI)
Digitalogia
Brampton, ON
- Contract
Role Description This is a contract Full Stack Developer (Java/Python + Gen AI) role based in Brampton, ON with a hybrid work arrangement, allowing a mix of on-site and work-from-home days.…
Added 1 day ago
GS
GenAI Prompt Engineer
Gala Solutions
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 2 days ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
Senior-level Python development across the full data and ML stack.
Added 2 days ago
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Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
…(terabytes/petabytes of bidstream and user event data) using SQL, Python, and distributed computing frameworks (e.g., Spark,…
Added 2 days ago
CT
Lead/Senior Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
…Databricks Genie / Genie Code, machine learning, and emerging GenAI use cases across Manufacturing, Supply Chain, Sales, Finance, and…
Added 2 days ago
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Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 2 days ago
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Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 2 days ago
U
Scientifique Principale des Données-Ingénieur/Staff Data Scientist- Eng
UKG
Montreal, QC
- Full-time
Maîtrise du génie logiciel, notamment de la programmation en Python et autres langages, ainsi que des outils et bibliothèques tels que Pandas, NumPy, TensorFlow ou PyTorch. Expertise dans…
Added 2 days ago
RE
Backend Python Developer - GenAI Focus
Randstad Enterprise
Montreal, QC
- Contract
Job Title: Backend Python Developer - GenAI Focus
Added 2 days ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Proficient in Python for data science and GenAI application development
Added 2 days ago
U
Scientifique Principale des Données-Ingénieur/Staff Data Scientist- Eng
UKG
Montreal, QC
- Full-time
Maîtrise du génie logiciel, notamment de la programmation en Python et autres langages, ainsi que des outils et bibliothèques tels que Pandas, NumPy, TensorFlow ou PyTorch. Expertise dans…
Added 2 days ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!
Added 2 days ago
C
Senior Solutions Engineer
ChapsVision
Montreal, QC
- Full-time
Solides compétences en programmation (Python, Java, C#, etc.).
Added 2 days ago
Test Automation Lead
Freedom Mobile
Toronto, ON
Proficiency in one or more programming languages such as Java, Python, or C#.

ChapsVision

Senior Solutions Engineer

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Plus de 8 ans d’expérience en consultation technique, services professionnels ou dans un rôle d’ingénierie en contact direct avec les clients.
Posting language: English · French
Posted: Sep 15, 2026

Original job description

English section of this bilingual listing.

We are building the world's leading Enterprise Agentic AI platform that empowers companies to deploy intelligent search, AI assistants, and AI agents grounded in trusted internal knowledge. We deliver on our vision: A modern workplace where people use natural language queries to securely search, generate accurate answers, and build and deploy agents, regardless of the underlying data silos or applications.

We partner with some of the largest organizations in the world to change the way they use information and deploy secure and trusted agentic AI at scale.

Role Overview

As a Senior Solutions Engineer, you will serve as a senior technical lead on our most strategic and complex customer engagements. You will architect scalable search solutions, drive implementation of Generative AI capabilities, and act as a technical mentor to other engineers. This role requires deep enterprise search expertise and the ability to operate cross-functionally with customers, engineering, and product teams.

Key Responsibilities

Architecture Leadership:

Serve as the technical lead across high-impact enterprise search deployments.
Architect secure, scalable solutions that include custom data pipelines and GenAI assistants.
Define integration strategy across multiple enterprise systems and business units.
Lead enterprise-level workshops and technical roadmap planning.

Advanced Technical Implementation:

Customize and extend the Sinequa platform using modern web and backend technologies.
Build connectors, REST API interfaces, and workflow automation to enhance platform extensibility.
Optimize ingestion pipelines, relevance scoring, and contextual search experiences.
Configure vector-based retrieval, RAG workflows, and prompt engineering frameworks.

Client Strategy and Engagement:

Guide customers through long-term success plans and advanced use case discovery.
Present at executive and technical stakeholder meetings with clear business impact narratives.
Conduct advanced-level training, enablement, and architectural reviews.

Collaboration and Leadership:

Act as a mentor to other engineers; provide technical guidance and code reviews.
Collaborate with pre-sales, product, and engineering to shape future platform enhancements.
Contribute reusable code modules and documentation for internal and customer use.

Key Skills and Qualifications

Bachelor’s or Master’s Degree in a technical discipline (Computer Science, Engineering, etc.).
Experience implementing enterprise search platforms.
8+ years of experience in technical consulting, professional services, or a customer-facing engineering role.
Strong programming background (Python, Java, C#, etc.).
Advanced frontend development expertise with Angular, TypeScript, or React.
Deep experience with REST APIs, identity management, and enterprise-grade security.
Proven ability to lead multi-phase deployments and cross-functional customer teams.
Familiarity with CI/CD pipelines, Git, and cloud infrastructure tools.
Strong communication skills and experience interfacing with executive stakeholders.

Bonus Points

Experience in AI-powered search (LLM, RAG, embedding generation, relevance tuning).
Knowledge of knowledge graph or ontology-driven search systems.
Hands-on work with containerized deployments (Kubernetes, Docker).
Familiarity with enterprise compliance and data governance in regulated environments.

Why Join ChapsVision?

Be part of a small, dynamic team growing the North American market for ChapsVision
Work on an AI-native search platform with enterprise impact
Fast-growing, innovative work environment with strong career growth opportunities
Competitive salary structure with high earning potential
Generous PTO, health benefits from day one, RRSP with employer match, wellness and commuter benefits, and more!

We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization. Applicants must be authorized to work in the US/Canada on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization.

Read the full bilingual original

À propos de ChapsVision

Nous développons la première plateforme mondiale d’IA agentique d’entreprise, qui permet aux sociétés de déployer des moteurs de recherche intelligents, des assistants IA et des agents IA s’appuyant sur des connaissances internes fiables. Nous concrétisons notre vision : un environnement de travail moderne où les utilisateurs peuvent, grâce à des requêtes en langage naturel, effectuer des recherches en toute sécurité, générer des réponses précises, ainsi que créer et déployer des agents, quels que soient les silos de données ou les applications sous-jacents.

Nous collaborons avec certaines des plus grandes organisations au monde pour transformer leur utilisation de l’information et déployer à grande échelle une IA agentique sécurisée et fiable.

Présentation du poste

En tant qu’Ingénieur(e) principal(e) en solutions (Senior Solutions Engineer), vous agirez à titre de leader technique principal dans le cadre de nos mandats clients les plus stratégiques et complexes. Vous concevrez des architectures de recherche évolutives, piloterez la mise en œuvre de fonctionnalités d’IA générative et agirez comme mentor technique auprès des autres ingénieurs. Ce rôle exige une expertise approfondie en recherche d’entreprise ainsi qu’une excellente capacité à collaborer de façon transversale avec les clients et les équipes d’ingénierie et de produit.

Responsabilités principales

Leadership en architecture

Agir à titre de responsable technique pour des déploiements de solutions de recherche d’entreprise à fort impact.
Concevoir des solutions sécurisées et évolutives intégrant des pipelines de données personnalisés et des assistants d’IA générative.
Définir la stratégie d’intégration entre plusieurs systèmes d’entreprise et unités d’affaires.
Diriger des ateliers à l’échelle de l’entreprise ainsi que la planification de feuilles de route techniques.

Implémentation technique avancée

Personnaliser et étendre la plateforme Sinequa à l’aide de technologies web et backend modernes.
Développer des connecteurs, des interfaces API REST et des automatisations de flux de travail afin d’accroître l’extensibilité de la plateforme.
Optimiser les pipelines d’ingestion de données, le classement par pertinence et les expériences de recherche contextuelle.
Configurer des systèmes de recherche vectorielle, des workflows RAG (Retrieval-Augmented Generation) et des cadres d’ingénierie de prompts.

Stratégie et accompagnement client

Accompagner les clients dans l’élaboration de plans de réussite à long terme et l’identification de cas d’usage avancés.
Présenter aux parties prenantes techniques et aux membres de la direction en communiquant clairement les impacts et la valeur pour l’entreprise.
Offrir des formations avancées, des activités d’accompagnement et des revues d’architecture.

Collaboration et leadership

Agir comme mentor auprès des autres ingénieurs, fournir des conseils techniques et effectuer des revues de code.
Collaborer avec les équipes avant-vente, produit et ingénierie afin de contribuer à l’évolution future de la plateforme.
Développer des modules de code réutilisables et de la documentation destinés à un usage interne ainsi qu’aux clients.

Compétences et qualifications recherchées

Baccalauréat ou maîtrise dans une discipline technique (informatique, génie, ou domaine connexe).
Expérience dans l’implémentation de plateformes de recherche d’entreprise (enterprise search).
Plus de 8 ans d’expérience en consultation technique, services professionnels ou dans un rôle d’ingénierie en contact direct avec les clients.
Solides compétences en programmation (Python, Java, C#, etc.).
Expertise avancée en développement frontend avec Angular, TypeScript ou React.
Expérience approfondie avec les API REST, la gestion des identités et les mécanismes de sécurité de niveau entreprise.
Capacité démontrée à diriger des déploiements en plusieurs phases ainsi que des équipes clients multidisciplinaires.
Bonne connaissance des pipelines CI/CD, de Git et des outils d’infrastructure infonuagique (cloud).
Excellentes aptitudes en communication et expérience auprès de parties prenantes de niveau exécutif.

Atouts

Expérience en recherche propulsée par l’intelligence artificielle : LLM, RAG, génération d’embeddings et optimisation de la pertinence des résultats.
Connaissance des graphes de connaissances (knowledge graphs) ou des systèmes de recherche basés sur des ontologies.
Expérience pratique avec des déploiements conteneurisés, notamment Kubernetes et Docker.
Connaissance des exigences de conformité d’entreprise et de gouvernance des données dans des environnements réglementés.

Pourquoi rejoindre ChapsVision ?

Intégrez une petite équipe dynamique chargée de développer le marché nord-américain pour ChapsVision
Travaillez sur une plateforme de recherche native IA ayant un impact sur les entreprises
Un environnement de travail innovant et en pleine croissance, offrant de solides opportunités d’évolution de carrière
Une structure salariale compétitive avec un fort potentiel de rémunération
Des congés payés généreux, une couverture santé dès le premier jour, un REER avec abondement de l’employeur, des avantages liés au bien-être et aux déplacements domicile-travail, et bien plus encore !

*Nous ne sommes actuellement pas en mesure de prendre en considération les candidats qui ont besoin, ou auront besoin à l'avenir, d'un parrainage pour obtenir un permis de travail. Les candidats doivent être autorisés à travailler aux États-Unis ou au Canada de manière permanente et continue, sans avoir besoin d'un permis de travail parrainé par l'employeur, que ce soit actuellement ou à l'avenir.

About ChapsVision

We partner with some of the largest organizations in the world to change the way they use information and deploy secure and trusted agentic AI at scale.

Role Overview

Key Responsibilities

Architecture Leadership:

Serve as the technical lead across high-impact enterprise search deployments.
Architect secure, scalable solutions that include custom data pipelines and GenAI assistants.
Define integration strategy across multiple enterprise systems and business units.
Lead enterprise-level workshops and technical roadmap planning.

Advanced Technical Implementation:

Customize and extend the Sinequa platform using modern web and backend technologies.
Build connectors, REST API interfaces, and workflow automation to enhance platform extensibility.
Optimize ingestion pipelines, relevance scoring, and contextual search experiences.
Configure vector-based retrieval, RAG workflows, and prompt engineering frameworks.

Client Strategy and Engagement:

Guide customers through long-term success plans and advanced use case discovery.
Present at executive and technical stakeholder meetings with clear business impact narratives.
Conduct advanced-level training, enablement, and architectural reviews.

Collaboration and Leadership:

Act as a mentor to other engineers; provide technical guidance and code reviews.
Collaborate with pre-sales, product, and engineering to shape future platform enhancements.
Contribute reusable code modules and documentation for internal and customer use.

Key Skills and Qualifications

Bachelor’s or Master’s Degree in a technical discipline (Computer Science, Engineering, etc.).
Experience implementing enterprise search platforms.
8+ years of experience in technical consulting, professional services, or a customer-facing engineering role.
Strong programming background (Python, Java, C#, etc.).
Advanced frontend development expertise with Angular, TypeScript, or React.
Deep experience with REST APIs, identity management, and enterprise-grade security.
Proven ability to lead multi-phase deployments and cross-functional customer teams.
Familiarity with CI/CD pipelines, Git, and cloud infrastructure tools.
Strong communication skills and experience interfacing with executive stakeholders.

Bonus Points

Experience in AI-powered search (LLM, RAG, embedding generation, relevance tuning).
Knowledge of knowledge graph or ontology-driven search systems.
Hands-on work with containerized deployments (Kubernetes, Docker).
Familiarity with enterprise compliance and data governance in regulated environments.

Why Join ChapsVision?

Be part of a small, dynamic team growing the North American market for ChapsVision
Work on an AI-native search platform with enterprise impact
Fast-growing, innovative work environment with strong career growth opportunities
Competitive salary structure with high earning potential
Generous PTO, health benefits from day one, RRSP with employer match, wellness and commuter benefits, and more!

Apply About employer

More about this job

Responsibilities

You will serve as a technical lead for strategic enterprise search deployments, architecting scalable solutions and integrating Generative AI capabilities. Additionally, you will mentor engineering teams, lead technical workshops, and collaborate with product teams to drive platform evolution.

Requirements

Candidates must hold a bachelor's or master's degree in a technical field and possess over 8 years of experience in technical consulting or customer-facing engineering. Strong proficiency in programming languages, frontend development, and enterprise-grade security is required, along with the ability to work permanently in the US or Canada.

Skills

Enterprise search
Generative AI
Python
Java
C#
Angular
TypeScript
React
REST APIs
Identity management
CI/CD
Git
Cloud infrastructure
RAG
Kubernetes
Docker

Benefits

Generous PTO
Health benefits
RRSP with employer match
Wellness benefits
Commuter benefits

Visa sponsorship

Not detected in the job text

Keywords

Enterprise search
Agentic AI
Generative AI
Sinequa
Python
Java
C#
Angular
TypeScript
React
REST APIs
Identity management
CI/CD
Git
Cloud infrastructure
RAG
LLM
Embeddings
Knowledge graphs
Ontologies
Kubernetes
Docker
Data governance
Technical consulting
Professional services
Software engineering
Architecture
Prompt engineering
Vector search
API development

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