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ChapsVision

Ingénieur(e) solutions sénior

Montreal, QC, Canada

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

Apply About employer

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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

Lead architecture and implementation for complex enterprise search deployments, including secure data pipelines, integrations, and generative AI capabilities. Advise and train customers, mentor engineers, and collaborate with product, engineering, and pre-sales teams on platform improvements.

Requirements

Requires a bachelor's or master's degree in a technical discipline, enterprise search implementation experience, and more than eight years in technical consulting, professional services, or customer-facing engineering. Candidates should have strong programming and frontend skills, expertise in APIs and enterprise security, and experience leading deployments and communicating with executive stakeholders.

Skills

Enterprise Search
Solution Architecture
Python
Java
C#
Angular
TypeScript
React
REST APIs
Identity Management
Enterprise Security
Data Pipelines
Generative AI
Retrieval-Augmented Generation
CI/CD
Cloud Infrastructure

Benefits

Paid Time Off
Health Benefits
Retirement Plan With Employer Match
Wellness Benefits
Commuter Benefits

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Search
Sinequa
Enterprise Agentic AI
Generative AI
AI Assistants
AI Agents
Solution Architecture
Data Pipelines
REST APIs
Workflow Automation
Relevance Scoring
Contextual Search
Vector Search
Retrieval-Augmented Generation
Prompt Engineering
Python
Java
C#
Angular
TypeScript
React
Identity Management
Enterprise Security
CI/CD
Git
Cloud Infrastructure
Large Language Models
Embeddings
Knowledge Graphs
Kubernetes

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