Назад
2 дня назад

Forward Deployed Engineering - Architect (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
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
Forward Deployed Engineering - Architect (AI): Building and productionizing end-to-end data, AI, and application solutions for enterprise customers with an accent on architecture ownership, scalable system design, and customer-facing delivery. Focus on integrating data pipelines with ML/AI models and user-facing applications, solving complex distributed computing challenges, and deploying secure production systems.

Location: London, United Kingdom — hybrid; travel to customers 20% of the time.

Company

Databricks is a data and AI company providing a unified platform for data engineering, analytics, machine learning, and AI application development.

What you will do

  • Lead customer technical projects by designing and delivering production-grade data, AI, and application solutions.
  • Own architecture and design decisions for secure, scalable end-to-end systems.
  • Build reference architectures, custom applications, data ingestion pipelines, and ML/AI integrations.
  • Embed with customer teams, guide architecture decisions, provide training, and support adoption of the Databricks platform.
  • Collaborate with project managers, architects, engineering, product, support, and customer stakeholders to deliver measurable outcomes.
  • Develop reusable accelerators, frameworks, and best practices that scale across accounts and inform the product roadmap.

Requirements

  • Strong experience in data engineering, data platforms and analytics, or software engineering.
  • Ability to code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
  • Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in one.
  • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
  • Experience with CI/CD, MLOps, ML/AI models, AI APIs, and production end-to-end data architectures.
  • Experience delivering technical projects for enterprise clients, managing scope and timelines, documenting solutions, and communicating with stakeholders from technical contributors to executives.

Nice to have

  • Databricks Certification.

Culture & Benefits

  • Customer-facing work focused on measurable business and technical outcomes.
  • Collaboration with engineering, product, developer relations, and customer support teams.
  • Opportunities to explore technologies that support Databricks-based solution deployment and integration.
  • Comprehensive regional benefits and employee perks.
  • Commitment to diversity, inclusion, and equal employment opportunity.

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