GenAI Field Engineer — Production AI Solutions

Databricks Inc.; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Databricks Inc. is seeking a senior AI Forward Deployed Engineer (AI FDE) to deliver GenAI solutions and productionize customer applications. You will own end-to-end deployments, act as a trusted technical advisor across industries, and collaborate with product and engineering teams to influence the roadmap.

You will represent cutting-edge GenAI techniques, including RAG, multi-agent systems, and fine-tuning, while traveling to meet customers every 4–8 weeks as needed.

Qualifications

• Experience building GenAI applications including RAG, multi-agent systems, Text2SQL and fine-tuning.
• Experience deploying production-grade GenAI apps with evaluation and optimization.
• Hands-on data science experience with pandas, scikit-learn, PyTorch, etc.

Responsibilities

• 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.

Skills

GenAI applications

RAG

Multi-agent systems

Text2SQL

Fine-tuning

HuggingFace

LangChain

DSPy

Production-grade deployments

Cloud platforms

Communication/training

Tools

Apache Spark

Databricks Intelligence Platform

Job description

Databricks Inc. is seeking a senior AI Forward Deployed Engineer (AI FDE) to deliver GenAI solutions and productionize customer applications. You will own end-to-end deployments, act as a trusted technical advisor across industries, and collaborate with product and engineering teams to influence the roadmap.

You will represent cutting-edge GenAI techniques, including RAG, multi-agent systems, and fine-tuning, while traveling to meet customers every 4–8 weeks as needed.