AI Engineer – Forward Deployed Engineer

Databricks

AI Engineer developing cutting-edge GenAI solutions for Databricks' customers. Collaborating with cross-functional teams and serving as a trusted technical advisor in the UK.

Posted 7/12/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying GenAI applications, leveraging advanced machine learning techniques and tools. Capable of effectively communicating technical concepts to diverse audiences while driving collaboration and business value through AI solutions.

Highest-signal resume keywords

GenAI Application DevelopmentMachine Learning DeploymentData Science ExpertiseCloud Platforms (AWS, Azure, GCP)Technical Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GenAI ApplicationsRAGMulti-Agent SystemsText2SQLFine-TuningPandasScikit-LearnPyTorchHuggingFaceLangChain

Soft Skills

CollaborationLife-Long LearningTechnical Teaching

Tools & Technologies

Databricks Intelligence PlatformApache Spark

Certifications & Qualifications

Graduate Degree in Quantitative Discipline

Industry Keywords

Data ScienceMachine LearningAI SolutionsProduction RolloutsTechnical Advisor

Tech Stack

Tools & technologies

ApacheAWSAzureGoogle Cloud PlatformPandasPyTorchScikit-LearnSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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)

Benefits

Comp & perks

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.