Quiq is hiring a Senior Solutions Engineer, Enterprise AI & CX to lead the design and hands-on prototyping of applied AI systems for large enterprise prospects. This is a technically deep, pre-sales role converting real-world customer experience workflows into structured, demo-ready AI architectures and personally building working prototypes.

What You'll Do

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.

What We're Looking For

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.
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.
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.
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.
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.

Technical Stack

Python
REST APIs
Webhooks
Large Language Models

Benefits & Compensation

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

Work Mode

This is a US Remote position.

Quiq is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure people feel supported and connected at work.