At a Glance
- Tasks: Deploy and operationalise AI-powered workflow solutions for clients.
- Company: Join a leading AI Foundry team with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for growth.
- Other info: Dynamic role with client interaction and exciting project challenges.
- Why this job: Be at the forefront of AI technology and make a real difference.
- Qualifications: 5-8+ years in software engineering and experience with AI technologies.
The predicted salary is between 60000 - 80000 £ per year.
Forward Deployed AI Engineer to join the AI Foundry team and work directly with customers to deploy and operationalize AI-powered workflow solutions.
Requirements:
- 5–8+ years of experience in software engineering, systems integration, enterprise platforms, or automation systems.
- Strong engineering foundation with experience in full-stack development, scripting, or enterprise integrations.
- Experience working with AI / LLM technologies or AI-powered applications.
- Experience operating in client-facing engineering or consulting roles.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with languages such as JavaScript / TypeScript, Python, or similar scripting languages.
Forward Deployed AI Engineer -UK in London employer: NewRocket
Join a forward-thinking company that values innovation and collaboration, where as a Forward Deployed AI Engineer, you will have the opportunity to work directly with clients in the UK, deploying cutting-edge AI solutions. Our supportive work culture fosters continuous learning and professional growth, offering access to advanced training and development resources. Enjoy a competitive benefits package and the unique advantage of being part of a dynamic team that is shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer -UK in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. We all know that sometimes it’s not just what you know, but who you know. Attend meetups or webinars to expand your circle.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects, especially those involving AI and full-stack development. We want to see your work in action, so make it easy for potential employers to check it out.
✨Tip Number 3
Prepare for interviews by practising common technical questions and client-facing scenarios. We can’t stress enough how important it is to demonstrate your problem-solving skills and ability to communicate effectively with clients.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t miss out on the chance to join our awesome team!
We think you need these skills to ace Forward Deployed AI Engineer -UK in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software engineering and AI technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your full-stack development and client-facing experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Forward Deployed AI Engineer role and how your background makes you a perfect fit for our team. Let us know what makes you tick!
Showcase Relevant Projects:If you've worked on any projects involving AI or cloud platforms like AWS or Azure, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions that highlight your contributions.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at NewRocket
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like JavaScript, Python, and cloud platforms. Brush up on your full-stack development skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Client-Facing Experience
Since this role involves working directly with customers, prepare examples of your previous client-facing experiences. Highlight how you’ve successfully communicated technical concepts to non-technical stakeholders and how you’ve built strong relationships.
✨Demonstrate Your AI Knowledge
Familiarise yourself with AI and LLM technologies. Be prepared to discuss any relevant projects where you’ve deployed AI solutions. Showing a solid understanding of how AI can enhance workflow solutions will set you apart.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical problem-solving questions during the interview. Practice coding challenges or system design scenarios that relate to automation systems or enterprise integrations. This will help you demonstrate your engineering foundation effectively.
