Databricks: AI Forward Deployed Engineer - London — London, United Kingdom

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists AI Forward Deployed Engineer - London in London, United Kingdom, under reference 8593713002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Professional Services Operations
• Employer listing date: 12 July 2026

Responsibilities and work described

• Development: 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
• Collaboration: cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

Essential requirements and candidate background

• 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
• Willing to travel once every 4-8 weeks to see customers (as needed)

Preferred experience and additional strengths

• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• 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
• Advertised location: London, United Kingdom

Benefits mentioned by the employer

• 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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another AI Forward Deployed Engineer - London vacancy is not an offer for reference 8593713002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8593713002.

Compare your qualifications and experience with the essential conditions for the London, United Kingdom position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AWS

For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.

Relevant skills

• Spark
• AWS
• GCP
• Azure
• AI/ML
• Google Cloud
• Excel
• machine learning
• AI
• compliance