At a Glance
- Tasks: Deploy and operationalise AI-powered solutions while collaborating directly with clients.
- Company: Join NewRocket's innovative AI Foundry team in Greater London.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with significant impact on enterprise platforms.
- Why this job: Be at the forefront of AI technology and make a real difference for clients.
- Qualifications: 5-8 years in software engineering, full-stack development, and familiarity with AI technologies.
The predicted salary is between 60000 - 80000 £ per year.
NewRocket is seeking a Forward Deployed AI Engineer to join its AI Foundry team in Greater London. In this role, you will work directly with clients to deploy and operationalize AI-powered workflow solutions.
Candidates should have 5–8 years of experience in software engineering or related fields and a strong foundation in full-stack development. The ideal candidate will be familiar with AI technologies and have experience with cloud platforms like AWS or Azure.
This client-facing role is pivotal for integrating AI solutions into enterprise platforms.
Customer-Facing AI Solutions Engineer employer: NewRocket
NewRocket is an exceptional employer that fosters a collaborative and innovative work culture, particularly within its AI Foundry team in Greater London. Employees benefit from continuous professional development opportunities, a supportive environment that encourages creativity, and the chance to work on cutting-edge AI solutions that make a real impact for clients. With a focus on employee well-being and a commitment to diversity, NewRocket stands out as a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Customer-Facing AI Solutions Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work with cloud platforms. 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 projects, especially those involving AI solutions or full-stack development. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for client interactions! Since this role is client-facing, practice explaining complex AI concepts in simple terms. Role-playing with a friend can help you feel more confident when it comes to real-life conversations.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Customer-Facing AI Solutions Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software engineering and full-stack development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Customer-Facing AI Solutions Engineer role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for AI and client interaction.
Showcase Your AI Knowledge:Since this role involves deploying AI solutions, make sure to mention any specific AI technologies or cloud platforms like AWS or Azure that you’ve worked with. We’re keen to see how you can bring your expertise to our team!
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at NewRocket
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and trends. Be ready to discuss how you've used AI in past projects, especially in client-facing scenarios. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Full-Stack Skills
Since the role requires a strong foundation in full-stack development, prepare to talk about your experience with both front-end and back-end technologies. Have specific examples ready that demonstrate your ability to build and deploy complete solutions.
✨Familiarise Yourself with Cloud Platforms
Get comfortable discussing AWS or Azure, as these are crucial for the role. If you’ve worked on projects using these platforms, be prepared to explain your approach and any challenges you faced. This will highlight your practical experience.
✨Client Interaction is Key
As this is a client-facing role, think of examples where you successfully communicated complex technical concepts to non-technical stakeholders. Show that you can bridge the gap between technology and business needs, which is essential for integrating AI solutions.
