GenAI Frontline Engineer - Forward-Deployed (London)

Databricks Inc.; City Of London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Databricks is seeking an AI Engineer for the Forward Deployed Engineering (AI FDE) team in London. This role focuses on delivering GenAI applications, from design to production rollout, and acting as a trusted technical advisor to customers across multiple domains.

The successful candidate will collaborate with engineering and product teams to shape priorities, present at conferences, and continuously advance GenAI capabilities while traveling to customer sites as needed.

Qualifications

• Min 4 years experience in DS, ML, AI.
• Experience building GenAI applications with RAG, multi-agent, Text2SQL, fine-tuning.
• Expertise deploying GenAI apps to production.
• Experience with pandas, scikit-learn, PyTorch.
• Experience deploying ML on AWS/Azure/GCP.
• Graduate degree in quantitative field.
• Excellent communication to both technical and non-technical audiences.
• Willing to travel 4–8 weeks to see customers.

Responsibilities

• Develop cutting-edge GenAI solutions using latest Databricks AI research.
• Own production rollouts of GenAI applications.
• Serve as trusted technical advisor to customers across domains.
• Present at conferences and share thought leadership.
• Collaborate with product and engineering to influence roadmap.

Skills

4+ years DS/ML/AI

GenAI app development

Production-grade deployments

Data science tooling (pandas, scikit‑e

Strong communication

Willing to travel

Education

Graduate degree in CS/Engineering/Statistics/OR

Tools

HuggingFace

LangChain

DSPy

AWS/Azure/GCP deployment

Job description

Databricks is seeking an AI Engineer for the Forward Deployed Engineering (AI FDE) team in London. This role focuses on delivering GenAI applications, from design to production rollout, and acting as a trusted technical advisor to customers across multiple domains.

The successful candidate will collaborate with engineering and product teams to shape priorities, present at conferences, and continuously advance GenAI capabilities while traveling to customer sites as needed.