Quiq - Senior Solutions Engineer, Enterprise AI & CX
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Requirements
• Enterprise CX & Contact Center Background • 5+ years of experience in enterprise customer experience, contact center, or customer support technology environments. • Strong familiarity with CCaaS platforms, CRM systems, routing frameworks, digital messaging channels, escalation models, and reporting metrics. • Experience modeling solutions against operational KPIs including containment, AHT, SLA, escalation rate, QA score, and CSAT. • Demonstrated experience working with enterprise stakeholders across Operations, IT, Digital, and Architecture teams. • Enterprise Stakeholder Navigation • Proven ability to lead technical discovery in complex, multi-stakeholder enterprise accounts. • Experience extracting structured requirements from ambiguity. • Track record of influencing architectural decisions and technical direction within enterprise environments. • Comfortable pushing back constructively on scope, feasibility, and risk. • Applied AI & Systems Engineering • Hands-on experience building AI-driven applications using large language models or similar technologies. • Experience structuring reasoning flows, orchestration logic, and decision frameworks. • Practical experience designing retrieval strategies across structured and unstructured knowledge sources. • Strong Python proficiency including API client development, data normalization, error handling, and test harness construction. • Experience building lightweight internal tools or utilities to accelerate solution development. • Experience debugging multi-system interactions across AI behavior, logic layers, and integration layers. • Familiarity with version control and structured testing practices. • Cloud & Integration Foundations • Working knowledge of cloud architecture patterns, including event-driven systems, middleware, and scalable API design. • Experience integrating enterprise SaaS platforms using REST APIs and webhooks. • Understanding of data modeling, schema design, and system scalability considerations. • Familiarity with at least one major cloud platform. • Startup & Builder Mindset • Experience operating in high-growth startups or similarly fast-paced environments. • Demonstrated history of building complex systems independently. • Comfortable operating without rigid structure or fully defined requirements. • High ownership mentality with minimal dependency on external resources. • Bias toward shipping validated, working systems over producing theoretical designs. • What Sets You Apart • You move from whiteboard architecture to working prototype in days, not weeks. • You design systems that withstand real-world enterprise constraints. • You think in workflows, integration boundaries, and measurable outcomes. • You are equally comfortable discussing routing logic with contact center leaders and debugging APIs or AI behavior. • You hold a high technical standard and proactively design guardrails and validation into your builds.
Responsibilities
• Applied AI Solution Architecture • 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. • Enterprise CX & Contact Center Expertise • 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. • Enterprise Discovery & Technical Navigation • 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. • Strategic Pre-Sales Partnership • 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. • Execution Expectations • 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. • Independently leading technical discovery that results in clearly documented architecture and defined success criteria. • Delivering production-grade proofs of concept that withstand executive and architectural scrutiny. • Identifying integration, data, and logic risks before late-stage deal pressure. • Shipping working technical artifacts that reduce reliance on downstream teams. • Translating AI system behavior into measurable operational and financial impact. • This Role Will Not Be a Fit If • You prefer highly structured requirements before beginning work. • You are uncomfortable being the primary technical owner in high-visibility enterprise deals. • You rely heavily on product or engineering teams to validate feasibility before building. • You view pre-sales primarily as presentation-driven rather than execution-driven. • Who This Role Is For • This role is ideal for a technically strong builder with deep enterprise CX experience who wants to operate at the intersection of AI engineering and enterprise solution architecture. • You are comfortable navigating executive conversations, designing scalable integration patterns, and personally building the systems that validate your architectural thinking. • If you are seeking a traditional demo-focused Sales Engineer role or one centered primarily on slideware and handoffs, this role will not be the right fit.
Benefits
• Market-competitive total compensation package • 100% company paid family medical and 100% individual dental and vision insurance coverage • Flexible, unlimited vacation policy • Stock options • Strong company culture
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