Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности и управленческий уровень описаны четко, но зарплата не указана, а обязательный офисный формат сужает выбор; кроме того, здесь совмещены техническое руководство и напряженная работа в пресейле.
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Зарплата не указанаНапряженный пресейлТолько офисПонятная зона ответственностиФокус на AI/ML
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director, Customer Solution Engineering (AI/ML): Leading and scaling Customer Solution Engineers who shape complex client opportunities, define production-ready architectures, and guide transitions from pre-sales to delivery with an accent on cloud, data, APIs, integration, and AI/ML. Focus on coaching senior technologists, validating scalable and secure solutions, and solving high-stakes technical and commercial challenges across regulated industries.
Location: Atlanta, Georgia, United States. On-site.
Company
hirify.global.
What you will do
Lead, coach, and scale a team of approximately eight Customer Solution Engineers across multiple accounts and domains.
Set standards for solution design, scoping, technical storytelling, reusable accelerators, demos, reference architectures, and best practices.
Shape opportunities by mapping client business processes, legacy systems, and constraints into viable architectures and identifying transformation opportunities.
Lead complex pre-sales engagements, including architecture definition, scoping, risk identification, feasibility validation, proposals, pricing inputs, delivery assumptions, and technical escalations.
Review designs, proofs of concept, demos, and pilots across cloud, data, integration, and AI/ML domains.
Ensure solutions are production-ready, scalable, secure, and transitioned to delivery teams with clear documentation and success criteria.
Requirements
15+ years of experience in solution engineering, consulting, or technical leadership roles.
5+ years leading or managing senior technologists, architects, or pre-sales teams.
Proven experience operating in customer-facing, deal-driven environments and handling ambiguity, incomplete requirements, and high-stakes client situations.
Strong depth across cloud, data, APIs, and AI/ML, with domain expertise in at least one of these areas: telecommunications, including OSS/BSS, RAN, IP networks, network operations, or field services; banking and financial services, including core banking, payments, cards, retail banking, clearing, settlement, capital markets, fraud, risk, or event-driven resilient architectures; or utilities, including grid operations, meter-to-cash, or field operations.
Strong hands-on experience with Azure, AWS, or GCP; APIs, microservices, and integration patterns; and data platforms such as ETL, streaming, and analytics.
Applied understanding of AI/ML and GenAI use cases, event-driven and distributed system architectures, security, compliance, and regulated environments.
Culture & Benefits
On-site work in Atlanta, Georgia.
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