Databricks предлагает сильную роль на стыке ИИ и инженерии данных с понятной ответственностью за весь цикл, но широкий стек задач, частые поездки к клиентам и неуказанная зарплата оставляют важные условия для уточнения.
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Широкий охват задачЧастые командировкиЗарплата не указанаСовременные технологииСфера ИИ
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Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer (Data & AI): Designing and delivering custom fullstack applications and production-grade data and AI solutions on the Databricks Data Intelligence Platform with an accent on architecture, data engineering, ML/AI integration, and customer-facing delivery. Focus on building secure and scalable end-to-end systems, embedding with strategic customers, and solving complex technical problems across backend, frontend, and integrations.
Location: London, United Kingdom; travel to client sites up to 50% as needed
Company
Databricks provides a Data and AI Platform used to build and scale data, analytics, AI applications, and agents.
What you will do
Design and own secure, scalable architectures aligned with customer needs and Databricks best practices.
Build fullstack applications spanning backend, frontend, integrations, data engineering, and AI.
Deliver production-grade systems from data ingestion and transformation through ML/AI model integration and user-facing applications.
Embed with strategic customer teams and collaborate with stakeholders from technical contributors to executives.
Partner with Sales, Product, and Field Engineering throughout pre-sales and post-deployment delivery.
Create reusable accelerators, frameworks, and best practices that scale across customer accounts.
Requirements
Strong software engineering experience across backend, frontend, and systems integration.
Proficiency in Python, SQL, Java or Scala, JavaScript or TypeScript, and modern frameworks.
Experience designing, building, and deploying production applications combining data pipelines, ML/AI models, and user-facing interfaces.
Experience integrating AI APIs such as OpenAI, Anthropic, and Gemini into applications.
Ability to deliver measurable technical outcomes in enterprise environments and communicate with stakeholders up to C-level executives.
Ability and interest to travel up to 50% to client sites.
Nice to have
Experience using AI code generation tools to accelerate development.
Curiosity and adaptability when exploring new technologies, domains, and customer challenges.
Culture & Benefits
Customer-facing collaboration with strategic enterprise organizations.
Opportunities to work across data, applications, and AI innovation.
Comprehensive employee benefits and region-specific perks.
Commitment to an inclusive workplace and equal employment opportunity.
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