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Powering conversations between consumers and businesses.
Senior Solutions Engineer, Enterprise AI – CX
Location
United States
Posted
116 days ago
Salary
0
Seniority
Senior
Job Description
Senior Solutions Engineer, Enterprise AI – CX
Quiq
• 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.
Job Requirements
- 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.
- 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.
Benefits
- 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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