AI Engineer - FDE (Forward Deployed Engineer)

Databricks; United Kingdom; Remote; GBP 120,000 - 180,000; Full time

Job summary

Databricks is seeking a forward‑deployed AI engineer in the United Kingdom to design and deliver GenAI solutions for customers. You will own production rollouts and act as a trusted technical advisor across domains, shaping project success and customer value.

You will work with Databricks AI research to implement cutting-edge GenAI techniques, collaborate with product and engineering teams, and present at industry events to showcase innovations.

Qualifications

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc.
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on data science experience with tools like pandas, scikit-learn, PyTorch
• Experience building production-grade ML deployments on AWS, Azure or GCP
• Graduate degree in a quantitative discipline or equivalent
• Experience communicating technical concepts to varied audiences
• Willingness to travel 4–8 weeks to see customers

Responsibilities

• Develop cutting-edge GenAI solutions using the latest Databricks AI research to solve customer problems
• Own production rollouts of GenAI applications for customers and internal teams
• Serve as a trusted technical advisor to customers across domains
• Present at conferences and contribute to thought leadership both internally and externally
• Collaborate with product and engineering to influence priorities and the roadmap

Skills

GenAI applications

RAG

Multi-agent systems

Text2SQL

Fine-tuning

Production deployments

Pandas / ML tools

PyTorch

Cloud deployment (AWS/Azure/GCP)

Communication skills

Education

Graduate degree in a quantitative discipline or equivalent

Tools

HuggingFace

LangChain

DSPy

Databricks platform

Apache Spark

Job description

Recruiter

Dina Hussain

Location

United Kingdom - Remote (must be based in the UK)

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 strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject‑matter‑expert teams. 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.

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 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)

Benefits

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.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.