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- Tasks: Design and optimise AI infrastructure while collaborating with enterprise customers.
- Company: Dynamic AI technology company with a focus on innovation.
- Benefits: Competitive compensation, benefits, equity options, and remote work.
- Why this job: Join a cutting-edge team and shape the future of AI solutions.
- Qualifications: 7+ years of technical experience in Kubernetes and AI applications.
- Other info: Remote role with occasional travel and great career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A dynamic AI technology company is seeking a Solutions Architect to join their Professional Services team. The role involves designing and optimizing production-grade AI infrastructure while engaging with enterprise customers.
Candidates should have over 7 years of technical experience, particularly in Kubernetes and AI applications.
Competitive compensation is offered, including benefits and equity options. Remote work with occasional travel is also included.
AI Solutions Architect - Remote Enterprise Infra & Agents in London employer: Langchain
Contact Detail:
Langchain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Architect - Remote Enterprise Infra & Agents in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work with Kubernetes. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects related to AI infrastructure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI applications and Kubernetes. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace AI Solutions Architect - Remote Enterprise Infra & Agents in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes and AI applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think on their feet and come up with innovative 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Langchain
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially around Kubernetes and AI applications. Be ready to discuss your past projects in detail, showcasing how you've designed and optimised AI infrastructure.
✨Understand the Company’s Vision
Research the company’s mission and recent projects. This will help you align your answers with their goals and demonstrate that you're genuinely interested in contributing to their success.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions where you'll need to solve problems on the spot. Practise articulating your thought process clearly, as this will show your analytical skills and ability to think critically under pressure.
✨Showcase Your Communication Skills
As a Solutions Architect, you'll be engaging with enterprise customers. Highlight your experience in communicating complex technical concepts in a way that's easy to understand. This will reassure them of your ability to bridge the gap between tech and business.
