Senior Solutions Engineer

ChapsVision; Buffalo (NY); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health benefits from day one

401(k) with employer match

Generous PTO

Wellness benefits

Commuter benefits

Job summary

ChapsVision is seeking a Senior Solutions Engineer to lead complex customer engagements, architect scalable search solutions, and drive GenAI capabilities across enterprise deployments in North America. You will mentor engineers, define integration strategies, and collaborate with customers, engineering, and product to deliver high-impact results.

The role requires deep enterprise search expertise, strong programming, and the ability to communicate with executive stakeholders.

Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Engineering or a technical discipline.
• 8+ years of experience in technical consulting, professional services, or customer-facing engineering.
• 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.

Responsibilities

• Architect secure, scalable enterprise search solutions with custom data pipelines and GenAI capabilities.
• Lead workshops, define integration strategies across systems, and plan technical roadmaps.
• Customize and extend the Sinequa platform with modern web and backend technologies.
• Build connectors, REST interfaces, and workflow automation to enhance extensibility.
• Mentor engineers, perform code reviews, and collaborate with pre‑sales, product, and engineering teams.

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.