Назад
5 дней назад

Senior Specialist Solutions Architect (AI/ML)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Specialist Solutions Architect (AI/ML): Designing and implementing production-grade ML and AI applications on the Databricks Data Intelligence Platform with an accent on GenAI, MLOps, and LLMOps. Focus on architecting end-to-end pipelines, optimizing training and inference, and providing advanced technical leadership to strategic enterprise customers.

Location: Must be based in London, United Kingdom

Company

Databricks is the data and AI company, creators of the Data Intelligence Platform, Lakehouse, Apache Spark, Delta Lake, and MLflow.

What you will do

  • Design and implement production-level ML and AI workloads, including end-to-end pipelines and MLOps lifecycle management.
  • Lead enterprise GenAI solutions, specializing in RAG architectures, agentic systems, and AI observability.
  • Provide advanced technical support to Solution Architects during the sales cycle by building MVPs and leading deep-dive sessions.
  • Collaborate with product and engineering teams to influence the platform’s AI roadmap based on customer needs.
  • Drive community growth and platform adoption through technical tutorials, training materials, and industry conference presentations.

Requirements

  • 10+ years of hands-on industry DS/ML experience in ML engineering or Data Science/AI.
  • Hands-on experience working with Distributed Spark based systems.
  • Proven experience in a customer-facing role, preferably 5+ years in pre-sales or post-sales.
  • Strong understanding of cloud-native services (AWS, Azure, or GCP).
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Must be able to travel up to 30% when needed.

Culture & Benefits

  • Comprehensive benefits and perks tailored to regional needs.
  • Commitment to a diverse and inclusive culture with equal employment opportunity standards.
  • Opportunity to work with cutting-edge AI technologies and influence a global product roadmap.
  • Collaborative environment focused on lifelong learning and thought leadership.

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