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For Companies At a Glance
- Tasks: Lead data analytics projects and develop customer strategies using cutting-edge technology.
- Company: Top consultancy firm in London with a focus on innovation.
- Benefits: Career development opportunities and travel across the UK&I region.
- Why this job: Join a dynamic team and shape the future of data and AI solutions.
- Qualifications: Strong background in Data Science, generative AI, and experience with software tools.
- Other info: Engage with clients and mentor junior team members in a collaborative environment.
The predicted salary is between 72000 - 108000 £ per year.
A leading consultancy firm in London is seeking a skilled Solutions Architect to develop customer strategies using the Databricks Lakehouse Platform. You will engage with clients, coach junior team members, and lead complex data analytics projects.
The ideal candidate has a strong background in Data Science, technical pre-sales, and generative AI, with hands-on experience in software tools like Dataiku and platforms such as AWS.
This position offers opportunities for career development and requires regular travel across the UK&I region.
Senior Data & AI Solutions Architect (GenAI/LLM) – London employer: Menlo Ventures
Contact Detail:
Menlo Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & AI Solutions Architect (GenAI/LLM) – London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with data and AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with tools like Dataiku and AWS. This will help you stand out during interviews and demonstrate your hands-on expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on articulating your experience in data analytics and generative AI clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Data & AI Solutions Architect (GenAI/LLM) – London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your background in Data Science, technical pre-sales, and generative AI to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Senior Data & AI Solutions Architect role. Share specific examples of your experience with the Databricks Lakehouse Platform and how you've led complex data analytics projects.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with software tools like Dataiku and platforms such as AWS. We love seeing candidates who can demonstrate their technical prowess right from the start!
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 this exciting opportunity!
How to prepare for a job interview at Menlo Ventures
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Databricks Lakehouse Platform and any relevant software tools like Dataiku. Brush up on your knowledge of AWS and generative AI concepts, as these will likely come up during the interview.
✨Showcase Your Client Engagement Skills
Prepare examples of how you've successfully engaged with clients in the past. Think about specific strategies you've used to develop customer solutions and how you’ve coached junior team members. This will demonstrate your leadership and communication skills.
✨Be Ready for Technical Questions
Expect some technical pre-sales questions that assess your problem-solving abilities. Practice articulating your thought process clearly, as this will show your analytical skills and ability to think on your feet.
✨Highlight Your Project Experience
Come prepared with detailed examples of complex data analytics projects you've led. Discuss the challenges you faced, how you overcame them, and the impact of your work. This will help illustrate your hands-on experience and strategic thinking.
