At a Glance
- Tasks: Engage with customers, conduct code reviews, and develop custom AI solutions.
- Company: Dex, a leading AI company focused on customer-driven innovation.
- Benefits: Competitive salary up to £250k, flexible work options, and career growth.
- Other info: Unique role with significant impact in a fast-paced environment.
- Why this job: Shape the future of AI while working directly with enterprise clients.
- Qualifications: Experience in engineering and strong communication skills.
Dex is looking for engineers who can engage in customer conversations and conduct code reviews within the same hour. This forward-deployed role reflects the rarity and commercial importance in modern AI companies, with compensation up to £250k. Successful candidates will work directly with enterprise customers, develop custom integrations and data pipelines, and help shape product decisions based on customer needs.
Enterprise AI Solutions Engineer – Customer-Facing in London employer: Dex
At Dex, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team members enjoy competitive compensation packages, including salaries up to £250k, and have ample opportunities for professional growth through direct engagement with enterprise customers and involvement in shaping product decisions. Located in a vibrant tech hub, we offer a dynamic environment where creativity and customer-centric solutions thrive, making it a rewarding place to advance your career in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise AI Solutions Engineer – Customer-Facing in London
✨Tip Number 1
Get to know the company inside out! Research Dex's products, values, and recent projects. This will help you engage in meaningful conversations during interviews and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your coding skills and be ready for live coding sessions. Since this role involves conducting code reviews, brush up on your coding knowledge and be prepared to demonstrate your problem-solving abilities on the spot.
✨Tip Number 3
Showcase your customer-facing experience! Be ready to share examples of how you've successfully engaged with clients in the past. Highlight your ability to understand their needs and translate them into technical solutions.
✨Tip Number 4
Apply through our website! We want to see your application come through directly, so make sure you submit it there. It’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Enterprise AI Solutions Engineer – Customer-Facing in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how you engage with the technology and its potential. Share any relevant projects or experiences that highlight your passion.
Tailor Your Application:Make sure to customise your application for the Enterprise AI Solutions Engineer role. We’re looking for specific skills and experiences, so align your background with what we’ve outlined in the job description. It’ll make a big difference!
Highlight Customer Engagement Skills:Since this role involves direct interaction with enterprise customers, emphasise your communication skills and any experience you have in customer-facing roles. We want to know how you can effectively engage and understand customer needs.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 Dex
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI. Be prepared to discuss how you've applied AI solutions in previous roles, especially in customer-facing situations. This will show that you’re not just knowledgeable but also passionate about the field.
✨Engage with Real Scenarios
Since this role involves direct customer interaction, practice discussing real-world scenarios where you've successfully engaged with clients. Think about how you’ve handled code reviews or developed custom integrations, and be ready to share those experiences during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your problem-solving abilities. You might be asked to tackle a coding challenge or troubleshoot a hypothetical issue. Approach these questions methodically, explaining your thought process clearly to showcase your analytical skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that reflect your interest in the company and the role. Inquire about their current projects, customer challenges, or how they envision the future of AI solutions. This shows that you’re genuinely interested and engaged.
