Quiq

Solutions Engineer

• Design and prototype enterprise-grade, AI-driven customer experience demo solutions, translating business logic into structured reasoning frameworks.
• Architect robust retrieval, orchestration, and validation systems, building scalable prototypes that tolerate real-world data variability.
• Own the transition from early-stage prototype to hardened proof of concept.
• Apply deep knowledge of enterprise contact center ecosystems including CCaaS, CRM, ticketing systems, digital messaging, routing logic, escalation flows, QA models, and reporting structures.
• Work directly with CX, Operations, Digital, IT, and Architecture stakeholders to understand real-world workflows and constraints.
• Convert operational processes into AI-enabled workflows that align with containment, handle time, SLA, QA, escalation rate, and customer satisfaction metrics.
• Identify integration patterns across enterprise systems and design practical implementation approaches.
• Lead rigorous technical discovery sessions across multi-layered enterprise organizations.
• Extract clear architecture and data requirements from ambiguous or politically complex environments.
• Identify logic gaps, data fragmentation, compliance constraints, and integration risks early in the engagement.
• Document architecture, assumptions, and technical success criteria clearly.
• Partner closely with Account Executives to shape technical strategy within enterprise accounts.
• Scope engagements realistically, balancing ambition with execution feasibility.
• Articulate architectural tradeoffs clearly to both executive and technical audiences.
• Influence enterprise stakeholders on integration patterns and AI implementation approaches.
• Contribute to scalable solution design that supports long-term account expansion.
• Operate independently in fast-moving, ambiguous environments.
• Rapidly build working prototypes under tight timelines.
• Take full ownership of technical outcomes rather than relying on downstream teams to validate feasibility.
• Design with production realities in mind, not just happy-path demonstrations.
• Maintain a consistently high conceptual and technical bar in AI-driven systems.
• Deliver artifacts that withstand executive and architectural scrutiny.

Senior Solutions Engineer, Enterprise AI – CX