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- Tasks: Develop and deploy cutting-edge GenAI solutions while collaborating with customers and teams.
- Company: Join Databricks, a leader in AI innovation with a collaborative culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in AI by solving unique customer challenges and shaping the future.
- Qualifications: Experience in GenAI applications and strong data science skills required.
- Other info: Dynamic team environment with opportunities to present at major conferences.
The predicted salary is between 36000 - 60000 £ 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 productionise 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.
- 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 Sparkâ„¢ to process large-scale distributed datasets.
AI Engineer - FDE (Forward Deployed Engineer) in London employer: Databricks
Contact Detail:
Databricks 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 folks in the AI and tech community, especially those who work at Databricks. Attend meetups, webinars, or conferences where you can connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GenAI projects or any relevant work you've done. This is your chance to demonstrate your expertise in building applications and deploying machine learning models—make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with tools like HuggingFace and PyTorch, and don’t forget to highlight your passion for collaboration and learning.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the team at Databricks. Let’s get you that AI Engineer role!
We think you need these skills to ace AI Engineer - FDE (Forward Deployed Engineer) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your experience with GenAI applications and any relevant tools like HuggingFace or PyTorch. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how your unique background makes you a great fit for the AI FDE team. Don’t forget to mention any customer-facing experiences that showcase your ability to communicate technical concepts.
Showcase Your Projects: If you've worked on any cool projects related to GenAI or machine learning, make sure to include them! We love seeing practical examples of your work, especially if they demonstrate your problem-solving skills and creativity in deploying AI solutions.
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Databricks
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest GenAI applications and tools like HuggingFace and LangChain. Brush up on your experience with machine learning frameworks such as PyTorch and scikit-learn, as you might be asked to discuss specific projects or challenges you've faced.
✨Showcase Your Customer Engagement Skills
Since this role involves working closely with customers, prepare examples of how you've successfully communicated technical concepts to non-technical audiences. Think about times when you’ve acted as a trusted advisor and how you’ve helped clients solve their problems.
✨Be Ready to Collaborate
This position requires cross-functional teamwork, so be prepared to discuss how you’ve worked with product and engineering teams in the past. Highlight any experiences where your collaboration led to successful project outcomes or influenced product roadmaps.
✨Stay Curious and Informed
Demonstrate your passion for AI and continuous learning by discussing recent trends in GenAI and LLMOps. Mention any conferences you’ve attended or relevant research you’ve followed, as this shows your commitment to staying at the forefront of the industry.
