AI Engineer - FDE (Forward Deployed Engineer) in London
AI Engineer - FDE (Forward Deployed Engineer)

AI Engineer - FDE (Forward Deployed Engineer) in London

London Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop cutting-edge GenAI solutions and collaborate with customers to solve real-world problems.
  • Company: Join Databricks, a leading data and AI company with a global impact.
  • Benefits: Enjoy comprehensive benefits, remote work options, and opportunities for professional growth.
  • Why this job: Be at the forefront of AI innovation and influence product development.
  • Qualifications: Experience in building GenAI applications and strong data science skills required.
  • Other info: Dynamic team environment with a commitment to diversity and inclusion.

The predicted salary is between 36000 - 60000 Β£ per year.

The AI Forward Deployed Engineering (AI FDE) team is a highly specialised 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 specialisations 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.

The impact you will have:

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic 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.
  • 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 SparkTM to process large-scale distributed datasets.

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide β€” including Comcast, CondΓ© Nast, Grammarly, and over 50% of the Fortune 500 β€” rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow.

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, please visit https://www.mybenefitsnow.com/databricks.

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.

AI Engineer - FDE (Forward Deployed Engineer) in London employer: Databricks Inc.

Databricks is an exceptional employer for AI Engineers, offering a dynamic work environment in London where innovation meets collaboration. With a strong commitment to employee growth, comprehensive benefits, and a culture that values diversity and inclusion, Databricks empowers its team members to thrive while working on cutting-edge AI solutions that impact leading global organisations. Join us to fuel your curiosity and make a meaningful contribution in the rapidly evolving field of AI.
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Contact Detail:

Databricks Inc. Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land AI Engineer - FDE (Forward Deployed Engineer) in London

✨Tip Number 1

Network like a pro! Reach out to current employees at Databricks on LinkedIn or attend industry meetups. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your GenAI projects, especially those using tools like HuggingFace or PyTorch. This will help you stand out and demonstrate your hands-on experience.

✨Tip Number 3

Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, as you'll need to engage with both technical and non-technical audiences.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Databricks team.

We think you need these skills to ace AI Engineer - FDE (Forward Deployed Engineer) in London

GenAI Application Development
RAG Systems
Multi-Agent Systems
Text2SQL
Fine-Tuning
HuggingFace
LangChain
DSPy
Production-Grade Deployment
Machine Learning Tools
Pandas
Scikit-Learn
PyTorch
Cloud Platforms (AWS, Azure, GCP)
Technical Communication

Some tips for your application 🫑

Show Your Passion for AI: When writing your application, let your enthusiasm for AI and GenAI shine through. We want to see how you fuel your curiosity and keep up with the latest trends in the field. Share any personal projects or experiences that highlight your passion!

Tailor Your Experience: Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. Highlight your expertise in building GenAI applications and any relevant tools you've used, like HuggingFace or PyTorch. This helps us see how you fit into our team!

Be Clear and Concise: While we love a good story, clarity is key! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read and understand your qualifications and experiences.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at Databricks!

How to prepare for a job interview at Databricks Inc.

✨Know Your GenAI Stuff

Make sure you brush up on the latest trends in Generative AI, especially tools like HuggingFace and LangChain. Be ready to discuss your experience with building GenAI applications and how you've tackled challenges in production rollouts.

✨Showcase Your Collaboration Skills

Since this role involves working cross-functionally, prepare examples of how you've collaborated with different teams in the past. Highlight any experiences where you served as a technical advisor or communicated complex concepts to non-technical audiences.

✨Prepare for Technical Questions

Expect to dive deep into your technical expertise during the interview. Brush up on machine learning tools like pandas, scikit-learn, and PyTorch, and be ready to discuss your hands-on experience with deploying applications on platforms like AWS, Azure, or GCP.

✨Be Ready to Share Your Passion

Databricks values life-long learning and driving business value through AI. Be prepared to talk about your passion for AI, any personal projects you've worked on, and how you stay updated with industry trends. This will show your enthusiasm and fit for the team.

AI Engineer - FDE (Forward Deployed Engineer) in London
Databricks Inc.
Location: London
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  • AI Engineer - FDE (Forward Deployed Engineer) in London

    London
    Full-Time
    36000 - 60000 Β£ / year (est.)
  • D

    Databricks Inc.

    1000-5000
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