AI Forward Deployed Engineer - London
Join Databricks as an AI Engineer to develop cutting-edge GenAI solutions and serve as a trusted advisor to customers.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 3 days ago
Skills & Technologies
AI in the day-to-day
We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications.
Requirements
- Experience
- 5+ years
- Education
- Master's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of AI Engineer - FDE at Databricks, the individual will focus on developing and deploying innovative GenAI solutions tailored to customer needs, while also serving as a technical advisor across various domains. Key skills include experience with tools like HuggingFace and LangChain, as well as a strong background in machine learning and data science. This position is ideal for seasoned professionals who thrive in customer-facing roles and possess a passion for collaboration and continuous learning. The team emphasizes a cross-functional approach, working closely with product and engineering teams to influence strategic initiatives.
Joblaze insights
- Listed about 3 months ago — first seen on Joblaze July 13, 2026. Last confirmed on Databricks's careers page October 24, 2026.
- PyTorch appears in 24.1% of 54 comparable mid ai/ml roles in United Kingdom; HuggingFace appears in 1.9% of 54 comparable mid ai/ml roles in United Kingdom.
Quick facts
- Is the AI Forward Deployed Engineer - London role remote?
- Yes — Databricks lists this as a fully remote position.
- How much experience is required?
- At least 5 years of relevant experience for this AI Forward Deployed Engineer - London role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Apache Spark, Azure, DSPy, Databricks Intelligence Platform, GCP.
- What seniority level is this role?
- Databricks targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this AI Forward Deployed Engineer - London role at Databricks.
From the original posting
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
BenefitsStandard company text repeated across Databricks's postings is omitted here.