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Senior Solutions Engineer, Enterprise AI & CX (US Remote)

3 weeks ago
United States
Full-time
Senior
Solutions Engineer
Software Development
CRM Git LLM Python REST API
Apply Now
Quiq

Quiq

Quiq is a leading technology company based in Bozeman, Montana, specializing in conversational AI platforms. They enable seamless communication between brands and customers through messaging across various platforms like SMS, Facebook Messenger, and mo...

Professional Services
51-250
Founded 2015
$44M raised
View All Jobs 3

Description

  • Design and prototype enterprise-grade AI-driven customer experience demo solutions.
  • Architect retrieval, orchestration, and validation systems for scalable prototypes that handle real-world data variability.
  • Own the transition from early-stage prototype to hardened proof of concept.
  • Work with CX, Operations, Digital, IT, and Architecture stakeholders to understand workflows and constraints.
  • Convert operational processes into AI-enabled workflows aligned to containment, handle time, SLA, QA, escalation rate, and CSAT metrics.
  • Lead technical discovery sessions across complex enterprise organizations and extract structured requirements from ambiguity.
  • Identify logic gaps, data fragmentation, compliance constraints, and integration risks early in the engagement.
  • Document architecture, assumptions, and technical success criteria clearly.
  • Partner with Account Executives to shape technical strategy and scope engagements realistically.
  • Build working prototypes under tight timelines and 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 and influencing architectural decisions 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.
  • 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.
  • Applicants need to have the authority to work in the US; immigration sponsorship is not available.

Benefits

  • Market-competitive total compensation package.
  • 100% company-paid family medical insurance.
  • 100% company-paid individual dental insurance.
  • 100% company-paid individual vision insurance.
  • Flexible, unlimited vacation policy.
  • Stock options.
  • Strong company culture.

Interested in this position?

Apply directly on the company website

Apply Now

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