Solution Architect

About Us:

Deep Judge is Switzerland’s leading AI and ICT scale-up, transforming how law firms and legal departments access and leverage their knowledge. Founded by former Google search engineers with PhDs in AI from ETH Zurich, and backed by top-tier Silicon Valley investors, we are building the intelligence layer that powers the legal industry.

Every firm can license the same AI models, but no two firms share the same institutional knowledge. Decades of experience, work product, and precedent are often trapped across systems, underused and inaccessible. Deep Judge makes this expertise instantly available through world‑class enterprise search and AI infrastructure, enabling firms to automate workflows, build knowledge‑powered applications, and turn experience into a lasting advantage.

Our technology is trusted by many of the world’s leading law firms, including Freshfields, Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. Headquartered in Switzerland with a growing team across North America, we are expanding rapidly and shaping the future of how professional knowledge is discovered and applied.

At Deep Judge, we move fast, think rigorously, and care deeply about what we build. We combine cutting‑edge research with close collaboration with our clients to deliver solutions that truly make an impact. If you want to be part of a team defining how AI transforms high‑stakes knowledge work, this is the place to do it.

We’re looking for a Solution Architect to join our Sales‑Engineering and Deployment team to guide customers from early technical discovery through successful implementation. Working closely with Product, Engineering, and GTM teams, you will leverage your expertise to help customers understand Deep Judge's capabilities and ensure they realize value quickly.

• Lead discovery sessions and communicate solution architectures to prospects, explaining how the platform fits into their infrastructure, systems, and security models.
• Partner with technical and business stakeholders to define objectives, requirements, integration needs, and success criteria.
• Configure platform settings to align the solution with customer requirements during implementation.
• Create high‑quality technical collateral, architecture diagrams, integration and deployment guides, and roll‑out plans.
• Serve as a trusted technical advisor during the sales motion and subsequent roll‑outs, clarifying tool capabilities, deployment models, data flows, and security considerations.
• Collaborate closely with product, engineering, and GTM to align on customer feedback and refine solution patterns and positioning.
• Stay current on cloud, AI/ML, search, and Dev Ops trends and incorporate those insights into messaging and best practices.

• Have 7–10 years of experience in Solution Architecture, Sales Engineering, or a senior customer‑facing technical role within enterprise search, AI/ML platforms, legal tech, or other complex B2B SaaS environments.
• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
• Strong foundational knowledge of enterprise software architectures, databases, modern deployment environments, and enterprise integration patterns.
• Exceptional ability to explain complex, highly technical concepts in a clear, concise, and persuasive way to audiences ranging from law firm partners and C‑level executives to IT leaders and engineers.
• Proven track record of leading customer‑facing technical projects and building strong, trusted relationships with key decision makers.

• The opportunity to shape how customers understand and adopt powerful enterprise search and AI solutions, influencing architectural design choices and time‑to‑value.
• A collaborative environment where you partner closely with experienced engineers, product leaders, sales, and GTM teams who value clarity, agency, and rigor.
• A competitive compensation and equity package that reflects the seniority and impact of the role.

Compensation is determined based on role level, location, skills, and experience, and the…