Senior Solutions Engineer

ChapsVision

• $130K — $170K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's Degree in a technical field (Computer Science, Engineering, etc.)
  • 8+ years in technical consulting, professional services, or customer-facing engineering roles
  • Experience with enterprise search platform implementations
  • Strong programming skills in languages such as Python, Java, or C#
  • Advanced frontend development skills with Angular, TypeScript, or React
  • Deep knowledge of REST APIs, identity management and enterprise security
  • Experience leading multi-phase deployments and managing cross-functional teams

Responsibilities

  • Lead high-impact enterprise search deployments as the technical lead
  • Architect secure and scalable solutions with custom data pipelines and GenAI assistants
  • Define integration strategies across various enterprise systems
  • Facilitate enterprise-level workshops and plan technical roadmaps
  • Customize the Sinequa platform using modern web and backend technologies
  • Develop connectors, REST API interfaces, and automate workflows
  • Optimize search pipelines and configure retrieval and RAG frameworks
  • Guide clients through strategic success plans and advanced use cases

Benefits

  • Join a small, dynamic team in a growing North American market
  • Contribute to an AI-native search platform with enterprise impact
  • Experience a fast-paced, innovative work environment with significant career growth
  • Enjoy generous PTO, health benefits from day one, and a 401(k) with employer match
  • Receive wellness and commuter benefits as part of your employment package
Full Job Description
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.

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