KeyStep

AI Engineer - FDE (Forward Deployed Engineer)

Databricks
United Kingdom
about 3 hours ago
full-time

Skills & Technologies

PandasScikit-learnMachine LearningData ScienceDatabricksGenAIRAGLangChainFine-tuningRoadmapReportingAIResearch

Job Description

AI Engineer - FDE (Forward Deployed Engineer)

Req ID: CSQ327R196

Recruiter: Dina Hussain

Location: United Kingdom - Remote

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.

We welcome remote applicants located near our offices. Preferred locations: London (UK),

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, PyTo

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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