3 дня назад
Principal AI Solutions Architect, Customer Success (AI)
134 300 - 236 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Solutions Architect, Customer Success (AI) (Genesys Cloud, Agentic AI, Conversational AI): Designing and deploying production-ready AI-powered customer experience solutions for strategic enterprise customers with an accent on solution architecture, integrations, governance, and measurable business outcomes. Focus on rapid prototyping, agentic orchestration, LLM services, responsible AI controls, and scaling solutions from proof of concept to production.
Location: Remote, US-based; North Carolina, USA
Salary: $134,300–$236,100 base compensation, with potential commission or performance-based bonus opportunities.
Company
provides an AI-powered experience orchestration platform that connects people, systems, data, and AI for customer and employee experiences.
What you will do
- Lead end-to-end technical engagements with strategic customers, from discovery and architecture through deployment, optimization, and expansion.
- Design scalable AI solutions across Cloud, agentic AI, conversational AI, automation, data, and omnichannel customer experience platforms.
- Develop reference architectures, integration patterns, data flows, governance approaches, and enterprise implementation roadmaps.
- Deliver rapid proofs of concept and minimum viable products using Cloud AI Studio, Agentic Virtual Agents, Copilots, REST APIs, event-driven architectures, and LLM services.
- Evaluate production performance against customer KPIs, improve AI solutions, and identify opportunities for sustained value realization.
- Advise executives and cross-functional specialists while promoting responsible AI, security, privacy, safety, compliance, PCI, and HIPAA controls.
Requirements
- 8+ years of experience consulting on, implementing, architecting, or supporting enterprise CX, CRM, AI, automation, or experience orchestration platforms.
- Demonstrated success deploying enterprise AI, automation, conversational AI, or data-driven solutions in complex customer environments.
- Hands-on experience with Cloud, AWS, Microsoft Azure, Google Cloud Platform, or comparable cloud technologies.
- Strong knowledge of REST APIs, event-driven architecture, JSON, data pipelines, LLM service integration, contact center platforms, NLP, and CX analytics.
- Understanding of enterprise AI governance, security, privacy, regulatory requirements, and the connection between architecture decisions and customer KPIs.
- Bachelor's degree in Computer Science, Information Technology, Data Science, Business, or a related discipline, or equivalent practical experience.
Nice to have
- Experience with customer journey mapping, omnichannel CX, process redesign, change management, or large-scale technology transformation.
- Experience creating reusable reference architectures, implementation patterns, technical accelerators, or AI governance frameworks.
- Knowledge of insurance, healthcare, financial services, retail, or public-sector environments.
Culture & Benefits
- Flexible-first culture with work-from-home opportunities and flexible schedules.
- Medical, dental, vision, and telehealth coverage.
- Open Time Off, 10 paid holidays, and a 401(k) matching program.
- Career development, mentorship, leadership development, and education support.
- Adoption assistance, fertility treatment coverage, paid volunteer time, and well-being resources.
Hiring process
- Application review by Talent Acquisition and the hiring team.
- Zoom interview followed by meetings with the hiring manager and interview team.
- Typically no more than five interviews, followed by final steps and communication from the hiring team.
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