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4 дня назад

Director, Customer Solution Engineering (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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