Note: The job is a remote job and is open to candidates in USA. Quiq is a company seeking a technically deep, hands-on Solutions Engineer with expertise in enterprise contact centers and customer experience. The role involves designing and prototyping AI-driven solutions, leading technical discovery, and collaborating with various stakeholders to ensure successful implementation.
Responsibilities
- 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
Skills
- 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
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
Company Overview