9 часов назад
AI Architect (Presales)
134 900 - 237 300$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI Architect (Presales) (AI/customer experience): Designing production-ready AI architectures that connect Genesys Cloud AI with enterprise data, workflows, knowledge sources, and cloud ecosystems with an accent on LLMs, RAG, orchestration, agentic AI, and real-time customer experiences. Focus on evaluating accuracy, latency, scalability, cost, governance, security, and business risk while leading technical discovery, prototypes, demonstrations, and production pilots for enterprise customers.
Location: California, USA; remote work and work-from-home opportunities are available.
Salary: $134,900–$237,300 base compensation annually, with potential commission or performance-based bonus opportunities.
Company
provides an AI-powered experience orchestration platform that connects 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, combining LLMs, deterministic workflows, tools, orchestration, human handoffs, and fallback strategies.
- Design scalable RAG and enterprise knowledge architectures, including content structuring, chunking, embedding, ranking, and trusted knowledge integration.
- Build evaluation, governance, and observability frameworks covering accuracy, retrieval quality, tool-call performance, safety, drift, cost, and business outcomes.
- Engineer 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, sandbox engagements, integrations, value assessments, and production pilot readiness.
- Create reusable technical assets and enablement while translating customer feedback into guidance for Product Management and Engineering.
Requirements
- 5+ years of experience designing and architecting enterprise 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 requirements for latency, throughput, secure data access, reliability, fallback handling, and scalability.
- Expertise in AI evaluation, governance, observability, prompt design, context management, RAG, and workflow optimization.
- Strong presales communication skills, including technical demonstrations, prototypes, executive storytelling, and collaboration with CIO, CTO, sales, and engineering stakeholders.
Nice to have
- Knowledge of Cloud and AI capabilities.
- Experience with customer experience orchestration, contact centers, self-service, agent assistance, journey management, 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
- Flexible-first work environment with flexible schedules and work-from-home opportunities.
- Medical, dental, vision, telehealth, and 401(k) matching benefits.
- Open Time Off, 10 paid holidays, paid volunteer time, and August Free Fridays.
- Mentorship, learning programs, leadership development, and education support.
- Employee and family support programs, including adoption assistance and fertility treatments.
Hiring process
- Application review by Talent Acquisition and the hiring team.
- Zoom interview followed by meetings with the hiring manager and interview team.
- The process typically includes no more than five interviews before final steps.
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