Назад
1 день назад

Scale Solution Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US/CR
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Scale Solution Engineer (AI): Advising multiple customers across the Databricks Data + AI Platform lifecycle, from pre-sales evaluation through onboarding and production, with an accent on AI-augmented workflows, cloud platforms, and data engineering. Focus on building technical solutions, guiding platform decisions, and solving customer challenges across data analytics and AI-driven development.

Location: Heredia, Costa Rica

Company

Databricks provides a unified Data + AI Platform for building and scaling data, AI, analytics, and agent applications.

What you will do

  • Provide technical assistance to customers from pre-sales evaluation through onboarding and production.
  • Build and use AI-augmented workflows to deliver technical guidance at scale.
  • Advise customers on technical decisions involving the Databricks Data + AI Platform.
  • Work with multiple customers concurrently to develop technical solutions.
  • Assess customer needs, address objections, foster relationships, and communicate platform value.

Requirements

  • At least 1 year of experience in a technical role, preferably in data, AI, or cloud.
  • Knowledge of at least one cloud platform: AWS, Azure, or GCP.
  • Knowledge of AI-driven development with Python or SQL.
  • Understanding of end-to-end data analytics and data engineering workflows.
  • Strong communication, interpersonal, time management, and prioritization skills.
  • Undergraduate degree or higher in Computer Science, Information Systems, or a related field, or equivalent relevant experience.

Nice to have

  • Experience in consulting or pre-sales.
  • Experience with agentic solutions.

Culture & Benefits

  • Benefits and perks are provided according to the employee's region.
  • Commitment to an inclusive culture and equal employment opportunity.
  • Access to a platform used by organizations worldwide to build and scale data and AI applications.

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