Senior Solutions Engineer, Enterprise AI & CX

Quiq

Location: US Remote
Workplace: Remote
Employment: Full Time
Salary: —

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

Design and prototype AI-driven customer experience demo solutions
Architect retrieval, orchestration, and validation systems
Own transition from prototype to hardened proof of concept
Apply deep knowledge of enterprise contact center ecosystems
Work with CX, Operations, Digital, IT, and Architecture stakeholders
Convert operational processes into AI-enabled workflows
Identify integration patterns across enterprise systems
Lead technical discovery sessions
Extract architecture and data requirements
Identify logic gaps, data fragmentation, compliance constraints, and integration risks
Document architecture, assumptions, and technical success criteria
Partner with Account Executives to shape technical strategy
Scope engagements realistically
Articulate architectural tradeoffs
Influence enterprise stakeholders on integration patterns and AI implementation
Contribute to scalable solution design
Build working prototypes under tight timelines
Design with production realities in mind
Deliver artifacts that withstand executive and architectural scrutiny

Requirements

5+ years of experience in enterprise customer experience, contact center, or customer support technology
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
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
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

Preferred

Move from whiteboard architecture to working prototype in days, not weeks
Design systems that withstand real-world enterprise constraints
Think in workflows, integration boundaries, and measurable outcomes
Equally comfortable discussing routing logic with contact center leaders and debugging APIs or AI behavior
Hold a high technical standard and proactively design guardrails and validation into builds

Skills

Python
REST APIs
Webhooks
CCaaS
CRM
AWS

Responsibilities

Requirements

Preferred

Skills

Similar roles