Senior Solutions Engineer, Enterprise AI – CX
Quiq
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI-driven applicationsPythonAPI client developmentdata normalizationerror handlingtest harness constructionretrieval strategiesorchestration logicdecision frameworksdata modeling
Soft Skills
leadershipinfluencingtechnical discoveryproblem-solvingcommunicationownership mentalityoperating independentlyworking under tight timelinesarticulating tradeoffsscoping engagements