4 часа назад
Principal Customer Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Customer Architect (AI): Designing and governing end-to-end agent architectures, enterprise integrations, guardrails, evaluation frameworks, and technical success plans for high-stakes customer deployments with an accent on scalable, repeatable architecture and quality standards. Focus on solving complex integration and observability problems, managing peak-event and compliance risks, leading incident response, and converting deployment patterns into function-wide playbooks.
Location: Remote
Company
provides an agentic AI platform for enterprise customer experience automation across the customer journey.
What you will do
- Design end-to-end AI agent architectures across chat, email, voice, SMS, and in-app customer journeys.
- Define integration blueprints for CRM, ticketing, contact center, identity, loyalty, reservations, order, payment, and data platforms.
- Set guardrail, governance, observability, evaluation, and quality-signoff standards for production deployments.
- Own technical success plans, outcome metrics, business reviews, and technical expansion paths across use cases, regions, and languages.
- Advise senior customer stakeholders, lead technical escalations and incident response, and drive root-cause analysis with Engineering.
- Mentor Customer Architects and turn account-level solutions into reference architectures, deployment blueprints, and prescriptive playbooks.
Requirements
- 12+ years in customer-facing technical roles such as solutions architecture, technical account management, forward-deployed engineering, implementation architecture, or technical consulting.
- Experience owning complex enterprise accounts at Fortune 500 scale and acting as a recognized technical authority.
- Strong ability to read code and API documentation, reason about distributed systems, design integrations, and debug data flows.
- Working knowledge of LLM systems, including prompting, tool use, retrieval, evaluation, guardrails, and failure modes.
- Experience defining architecture standards, methodologies, or playbooks adopted across a practice, function, or company.
- Experience influencing product direction through structured, evidence-based enterprise feedback.
Nice to have
- Experience co-delivering with systems integration partners.
- CX, contact center, conversational AI, CCaaS, CRM, ticketing, IVR, voice, or workforce management experience.
- Depth in airlines and travel, media and streaming, gaming and sports betting, financial services and insurance, or retail.
- Familiarity with SOC 2, HIPAA, GDPR, PCI, or ISO 27001.
- Experience designing evaluation frameworks or quality programs for non-deterministic systems.
Culture & Benefits
- Full-time remote work.
- Work with global enterprise brands on agentic AI deployments.
- Collaborate across Customer Engineering, Agentic Deployment, Product, and Engineering.
- Opportunity to shape platform direction and function-wide technical standards.
- uses AI tools in parts of the hiring process, with final decisions made by humans.
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