Senior Solution Architect, Pre-Sales

Are you passionate about solving complex business problems and shaping technical solutions that deliver real customer impact? As part of our continued growth, we’re looking for a Senior Solution Architect to join our high-performing Pre-Sales team. You’ll play a critical role in designing innovative and scalable AI and Generative AI solutions for some of the world’s most innovative, customer-centric companies.

With a strong foundation in software engineering, solution architecture, and a strategic mindset coupled with hands-on building, you’ll work with Coveo customers and technology partners to envision and invent the next generation of Coveo’s AI and Generative AI powered customer experience solutions. 

Your mission:

• Collaborate with customers, partners, and internal teams (Solution Engineers, PMs, Engineers) to design and deliver prototypes, POCs, and pilots that demonstrate innovation, drive impact, and bring the art of the possible to life, provide innovative customer experiences, and drive customer business impact.
• Architect tailored AI and Generative AI powered solutions that meet technical requirements, provide scalable, performant, and secure architectures, and may establish new design patterns or reference architectures.
• Lead technical discovery workshops to understand customer and partner challenges, shape their AI vision, align goals to Coveo’s capabilities, and recommend optimal architectures.
• Communicate and present effectively to educate and inspire customers and partners, build trust, and position yourself as a strategic, innovative advisor.
• Act as the voice of the customer by delivering high-quality feedback to Product, Engineering, and Research teams, influencing the roadmap based on real customer needs.
• Serve as Coveo’s in-house AI/ML and GenAI expert by staying immersed in emerging technology and solution trends, advising Solution Engineering, Sales, Customer Success, and Professional Services, and driving evangelism through technical content (blogs, repos, notebooks, demo videos) and hands‑on enablement sessions for both customers and internal teams.

You’re a natural at engaging with technical and business stakeholders alike, able to translate complex architectures into clear business outcomes. You’re curious, hands-on, and energized by solving real-world problems with technology. We’re looking for someone who’s passionate about solution design, learning new tools and frameworks, inventing, building impactful demos and prototypes, and sharing that knowledge with customers and teammates. 

The ideal candidate would be:

• 6+ years of experience in building enterprise-grade software and delivering customer solutions, with a background in engineering or technical delivery.
• Extensive pre-sales experience in customer- and partner-facing roles like Solutions Architect, Solutions Engineer, or Partner Architect.
• Full-stack and cloud-native expertise, with hands-on coding in back-end (Python, Java, Node.js) and front-end (JavaScript, React) technologies, plus system integration skills.
• Deep interest in Generative AI, with practical experience in LLMs, multi-modal models, RAG, and prompt engineering.
• Proven track record leading technical engagements (POCs, pilots, prototypes, hackathons) and influencing product direction through collaboration with engineering teams.
• Strong communicator and mentor, able to build trust across technical and executive audiences, and thrive in high-ambiguity, innovative environments.
• Willingness to travel up to 30–50% of the time to meet with customers and support sales cycles.

Something that would make your profile stand out

• Experience building applied AI/ML and Generative AI applications for end users such as search and recommendation solutions, chatbots, conversational workflows, agentic workflows, and MCP solutions on platforms such as Amazon Bedrock, Amazon Q, Microsoft CoPilot, Salesforce Agentforce, SAP Joule.

Send us your application, we want to hear from you! Join the Coveolife! 

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.