Lead Senior Principal Forward Deployed Engineer (AI/Networking)
Контакты
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
javac#pythongotypescriptc++distributed systemsgenerative aicloud infrastructureagentic ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль сочетает техническое лидерство и практическую работу с AI и сетями, но требование от 15 лет опыта, поездки к клиентам, гибридный формат и отсутствие зарплатного диапазона усложняют оценку условий и доступность вакансии.
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Нет зарплатного диапазонаПланка опытаПоездки к клиентамСовременный стекШирокая зона влиянияБез визового спонсорства
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Senior Principal Forward Deployed Engineer (AI/Networking): Designing, building, deploying, and stabilizing production solutions for strategic customers across intelligent networking, generative AI, automation, enterprise integrations, distributed systems, and cloud infrastructure with an accent on cross-engagement architecture, technical standards, and reusable capabilities. Focus on solving ambiguous high-risk systems problems, leading production-readiness decisions, identifying platform gaps, and translating customer requirements into product improvements.
Location: Seattle, Washington, United States; hybrid workplace. Travel to customer sites is required as needed by the engagement.
Company
hirify.global provides cloud-driven networking solutions and services for customers worldwide.
What you will do
Set cross-engagement technical strategy, architecture, reference architectures, and engineering standards for Forward Deployed Engineering.
Lead architecture and engineering decisions for customer solutions spanning applications, AI systems, data, APIs, integrations, networking, security, infrastructure, and production operations.
Write production-quality software and solve complex systems, integration, and production-readiness problems.
Turn recurring customer patterns into reusable architectures, components, tools, automation, and deployment capabilities.
Identify platform gaps and define feature requirements with Product teams.
Mentor engineers and provide senior technical direction across complex customer engagements.
Requirements
Bachelor’s degree in a relevant technical discipline or equivalent practical experience.
15+ years of software development lifecycle experience covering architecture, implementation, testing, deployment, and production operations.
Strong hands-on proficiency in one or more general-purpose languages, including Python, Java, Go, TypeScript, C#, or C++.
Experience architecting complex production systems involving AI, automation, data, networking, enterprise integrations, distributed systems, or cloud infrastructure.
Experience providing technical direction across multiple systems or teams and communicating complex decisions to technical and non-technical stakeholders.
Must be able to work in the Seattle hybrid environment and travel to customer sites as required.Employment visa sponsorship, including H-1B sponsorship, is not available.
Nice to have
Master’s or PhD in computer science, computer engineering, electrical engineering, machine learning, or a related discipline.
Experience building production generative AI or agentic systems with tool use, retrieval, planning, orchestration, context management, evaluation, and guardrails.
Experience with Model Context Protocol, modern agent frameworks, networking, telemetry, observability, or distributed control systems.
Experience with cloud-native infrastructure, container orchestration, infrastructure-as-code, CI/CD, enterprise identity, authorization, security, and data integration.
Hands-on work directly with strategic customer architects, principal engineers, and technical teams.
Opportunity to shape Extreme’s products and platforms through field learning and recurring customer requirements.
Work focused on scalability, security, reliability, observability, and operational safety.
Equal employment opportunity and fair-chance hiring practices.
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