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About the role

  • Senior Solutions Engineer architecting Sinequa-based enterprise AI search solutions for ChapsVision. Leading customer deployments, GenAI integrations, and technical mentorship across North America.

Responsibilities

  • Serve as the technical lead across high-impact enterprise search deployments
  • Architect secure, scalable solutions with custom data pipelines and GenAI assistants
  • Define integration strategy across multiple enterprise systems and business units
  • Lead enterprise-level workshops and technical roadmap planning
  • Customize and extend the Sinequa platform using modern web and backend technologies
  • Build connectors, REST API interfaces, and workflow automation
  • Optimize ingestion pipelines, relevance scoring, and contextual search experiences
  • Configure vector-based retrieval, RAG workflows, and prompt engineering frameworks
  • Guide customers through long-term success plans and advanced use case discovery
  • Present to executive and technical stakeholders with clear business impact narratives
  • Conduct advanced-level training, enablement, and architectural reviews
  • Mentor other engineers, provide technical guidance, and perform code reviews
  • Collaborate with pre-sales, product, and engineering teams on platform enhancements
  • Contribute reusable code modules and documentation for internal and customer use

Requirements

  • 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
  • Experience in AI-powered search (LLM, RAG, embedding generation, relevance tuning) is a bonus
  • Knowledge of knowledge graph or ontology-driven search systems is a bonus
  • Hands-on experience with containerized deployments (Kubernetes, Docker) is a bonus
  • Familiarity with enterprise compliance and data governance in regulated environments is a bonus
  • Applicants must be authorized to work in the US or Canada on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization

Benefits

  • Competitive compensation structure with strong earning potential
  • Generous paid time off
  • Health coverage from day one
  • RRSP with employer matching
  • Wellness and commuter benefits
  • Strong career growth opportunities

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AngularCloudDockerJavaKubernetesPythonReactTypeScript

Location requirements

HybridMontrealCanada

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