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AI Engineer - FDE (Forward Deployed Engineer)

databricks · Londonmid

In short

  • ▸Desarrollas aplicaciones de IA generativa de vanguardia con clientes enterprise.
  • ▸Gestiona despliegues en producción y actúas como asesor técnico clave en A.I.
  • ▸Destacan por presentar como experto en eventos internacionales y colaborar en la estrategia del producto.

Fluent written and spoken English required

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What they ask for

  • ✓Experiencia en aplicaciones de IA generativa (RAG, multi-agente, Text2SQL, fine-tuning).
  • ✓Conocimiento en herramientas como HuggingFace, LangChain, DSPy.
  • ✓Capacidad para desplegar soluciones de IA en producción con evaluación y optimización.
  • ✓Experiencia con herramientas de ML y ciencia de datos (pandas, scikit-learn, PyTorch).
  • ✓Experiencia en despliegues de ML en AWS, Azure o GCP.
  • ✓Habilidad para comunicar conceptos técnicos a audiencias técnicas y no técnicas.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

HuggingFaceLangChainDSPypandasscikit-learnPyTorchAWSAzureGCPDatabricks Intelligence Platfo

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AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R191 Location: London, United Kingdom Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems • Own production rollouts of consumer and internally facing GenAI applications • Serve as a trusted technical advisor to customers across a variety of domains • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. • Experience building production-grade machine learning deployments on AWS, Azure, or GCP • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike • Passion for collaboration, life-long learning, and driving business value through AI • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets • Willing to travel once every 4-8 weeks to see customers (as needed) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific detail

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