4 дня назад
Senior AI Architect
134 900 - 237 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Architect (Enterprise AI): Designing production-ready AI architectures for customer experience orchestration with an accent on LLMs, RAG, agentic AI, enterprise integrations, and governance. Focus on solving latency, scalability, reliability, evaluation, security, and cost challenges while guiding strategic presales engagements from technical discovery through production pilots.
Location: California, USA
Salary: $134,900–$237,300 per year, with potential commission or performance-based bonus opportunities.
Company
provides an AI-powered experience orchestration platform connecting people, systems, data, and AI for more than 8,000 organizations worldwide.
What you will do
- Architect production-ready AI systems for customer experience use cases using LLMs, deterministic workflows, tools, orchestration, human handoffs, and fallback strategies.
- Design scalable RAG and enterprise knowledge architectures that balance accuracy, relevance, freshness, latency, security, and governance.
- Build AI evaluation and observability frameworks covering retrieval quality, tool-call performance, safety, drift, cost, and business outcomes.
- Develop contextual AI experiences using real-time customer data, interaction history, conversation state, and external signals across voice and digital channels.
- Lead presales discovery, solution architecture, demonstrations, prototypes, trials, integrations, value assessments, and production pilot readiness with sales, customers, Professional Services, Product Management, and Engineering.
- Create reusable technical assets and enablement while translating customer feedback into product and go-to-market guidance.
Requirements
- Extensive hands-on experience architecting modern AI solutions using machine learning, NLU, NLP, retrieval systems, LLMs, orchestration, tool use, and agentic AI.
- Strong architectural judgment across model selection, latency, cost, explainability, governance, multilingual requirements, security, scalability, and business risk.
- Deep experience integrating AI with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and cloud ecosystems.
- Experience designing real-time enterprise systems with secure data access, reliability, fallback paths, failure handling, voice and digital latency, and scalability.
- Expertise in AI evaluation, governance, and observability, including offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.
- Proven ability to deliver technical demonstrations, prototypes, executive presentations, and customer-focused solution designs in partnership with sales teams.
Nice to have
- Understanding of Cloud and AI capabilities.
- Experience with contact centers, self-service, agent assistance, journey management, customer experience orchestration, or back-office automation.
- Experience creating reusable enablement for solution consulting, partners, sales engineering, or related field organizations.
- Experience translating customer and field insights into product or platform improvements.
Culture & Benefits
- Medical, dental, vision, telehealth, 401(k) matching, adoption assistance, and fertility treatment benefits.
- Flexible work schedules and work-from-home opportunities.
- Open Time Off, 10 paid holidays, paid volunteer time, and well-being resources.
- Mentorship, learning programs, leadership development, and education support.
- Work on AI-powered technology used at enterprise scale by organizations worldwide.
Hiring process
- Application review by Talent Acquisition and the hiring team.
- Zoom interview followed by meetings with the hiring manager and interview team.
- Most processes include no more than five interviews before final steps are communicated.
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