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Added 1 min ago
Senior OCS Engineer - Testing & Commissioning
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Full-time
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ChapsVision

Senior Solutions Engineer

Montreal, QC, Canada

Pay: The annual compensation for this role ranges from $130,000 to $170,000 base, depending on experience.
Job type: Full-time
Experience: 8+ years of experience in technical consulting, professional services, or a customer-facing engineering role.
Posting language: English
Posted: Apr 29, 2026

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Original job description

About ChapsVision

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, 401(k) with employer match, wellness and commuter benefits, and more!

Compensation

The annual compensation for this role ranges from $130,000 to $170,000 base, depending on experience.

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.

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More about this job

Responsibilities

Lead architecture and implementation for complex enterprise search deployments, including secure data pipelines, integrations, AI assistants, and retrieval-augmented generation workflows. Guide customer strategy and technical engagements, mentor engineers, and collaborate with product, engineering, and pre-sales teams.

Requirements

Requires a bachelor's or master's degree in a technical discipline, enterprise search implementation experience, and at least 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 cross-functional customer teams.

Skills

Enterprise Search
Generative AI
Python
Java
C#
Angular
TypeScript
React
REST APIs
Identity Management
Enterprise Security
CI/CD
Git
Cloud Infrastructure
Vector-Based Retrieval
Retrieval-Augmented Generation

Benefits

Paid Time Off
Health Benefits
401(k) With Employer Match
Wellness Benefits
Commuter Benefits

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Search
Sinequa
Generative AI
AI Assistants
AI Agents
Custom Data Pipelines
Python
Java
C#
Angular
TypeScript
React
REST APIs
Identity Management
Enterprise Security
Vector-Based Retrieval
Retrieval-Augmented Generation
Prompt Engineering
Relevance Tuning
Knowledge Graphs
Ontologies
CI/CD
Git
Cloud Infrastructure
Kubernetes
Docker
Data Governance
Enterprise Compliance

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