ChapsVision

Pre-sales Engineer

• Collaborate with account executives to understand clients’ business challenges, technical environments, and strategic priorities
• Lead technical discovery sessions with engineers and senior executives
• Translate complex customer needs into tailored solutions powered by AI and data platforms
• Design and deliver ArgonOS demonstrations that showcase its capabilities and business value
• Develop proofs of concept, prototypes, and customized technical presentations
• Explain AI, data, and technology platform concepts to technical and non-technical audiences
• Advise clients on deployment strategies, integrations, and architectural considerations
• Participate in discussions involving APIs, cloud environments, enterprise systems, and data ecosystems
• Convey customer feedback to Product and Engineering teams and contribute to the evolution of the platform
• Refine technical positioning and improve customer outcomes with Product, Engineering, and Sales teams
• Contribute to demonstrations, technical documentation, and training materials
• Support strategic opportunities and ArgonOS’s market positioning in North America

Senior Presales Engineer

Solutions Engineer

• Serve as the technical lead for high-impact enterprise search solution deployments
• Design secure, scalable solutions incorporating custom data pipelines and generative AI assistants
• Define the integration strategy across multiple enterprise systems and business units
• Lead enterprise-wide workshops and technical roadmap planning
• Customize and extend the Sinequa platform
• Develop connectors, REST API interfaces, and workflow automations
• Optimize ingestion pipelines, relevance ranking, and contextual search experiences
• Configure vector search systems, RAG workflows, and prompt engineering frameworks
• Guide clients in developing long-term success plans and identifying advanced use cases
• Present to technical stakeholders and executive leadership
• Deliver advanced training, enablement sessions, and architecture reviews
• Mentor other engineers, provide technical guidance, and conduct code reviews
• Collaborate with pre-sales, product, and engineering teams
• Develop reusable code modules and documentation for internal and client use

Senior Solutions Engineer

• Collaborate with Account Managers to understand clients’ business challenges, technical environments, and strategic priorities
• Lead technical discovery sessions with engineers and senior executives
• Translate client needs into customized solutions powered by AI and data platforms
• Design and deliver ArgonOS demonstrations that showcase its capabilities and business value
• Develop proofs of concept, prototypes, and customized technical presentations
• Explain complex concepts related to AI, data, and technology platforms
• Advise clients on deployment strategies, integrations, and architectural considerations
• Participate in discussions involving APIs, cloud environments, enterprise systems, and data ecosystems
• Collaborate with Product and Engineering teams to share customer feedback and influence the evolution of the platform
• Work with Product, Engineering, and Sales teams to refine technical positioning and improve customer outcomes
• Contribute to demonstrations, technical documentation, and training materials
• Support strategic opportunities and ArgonOS’s positioning in the North American market
• Build trusted client relationships and serve as a strategic technical advisor
• Contribute to successful proofs of concept and revenue growth across North America

Senior Pre-Sales Engineer

• Serve as the technical lead across high-impact enterprise search deployments
• Architect secure, scalable solutions including 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 at executive and technical stakeholder meetings with clear business impact narratives
• Conduct advanced-level training, enablement, and architectural reviews
• Mentor other engineers and provide technical guidance and code reviews
• Collaborate with pre-sales, product, and engineering teams to shape platform enhancements
• Contribute reusable code modules and documentation for internal and customer use

• Partner with Account Executives to understand customer business challenges, technical environments, and strategic priorities
• Lead technical discovery sessions with engineers and executive leadership
• Translate customer requirements into tailored AI and data platform solutions
• Design and deliver demonstrations showcasing ArgonOS capabilities and business value
• Build customized proof-of-concepts, prototypes, and technical presentations
• Communicate AI, data, and platform concepts to technical and non-technical audiences
• Advise customers on deployment strategies, integrations, and architecture considerations
• Support discussions involving APIs, cloud environments, enterprise systems, and data ecosystems
• Provide customer feedback to Product and Engineering teams
• Refine technical messaging and improve customer outcomes with cross-functional teams
• Contribute to demo assets, technical documentation, and enablement materials
• Support strategic opportunities and establish ArgonOS within the North American market
• Build trusted customer relationships and act as a strategic technical advisor
• Support successful proof-of-concepts and contribute to North American revenue growth

• Design, deploy, and customize secure, scalable search solutions tailored to customer requirements
• Create and configure data ingestion pipelines, APIs, and backend integrations
• Implement AI-powered assistants, RAG workflows, and prompt engineering strategies
• Customize and extend the search platform’s user experience and user interface
• Architect, customize, and deploy ChapsVision’s Sinequa enterprise AI search platform in complex customer environments
• Design solutions, guide clients through integration, and contribute to long-term success
• Present technical solutions to executives and stakeholders
• Lead workshops, training sessions, and technical deep dives with client teams
• Provide ongoing support, troubleshooting, and enablement