Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI initiatives to enhance software development processes and productivity.
- Company: Dynamic financial services firm based in London, embracing innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and drive the future of AI in engineering.
- Qualifications: Experience in DevOps, Cloud, Python, React, and JavaScript required.
- Other info: Exciting role for those passionate about AI and technology.
The predicted salary is between 48000 - 72000 £ per year.
I’m working with one of our financial services clients based in London, and they’re looking for an AI Augmented Engineering Lead to join their team.
The ideal candidate:
- Enjoys experimentation and has a genuine passion for AI.
- Drives adoption and utilisation of AI tools within the SDLC.
- Understands the development lifecycle and how AI can enhance each stage.
- Evaluates and experiments with new AI tools through POCs, determining how they can be implemented across.
- Helps improve engineering productivity and processes through AI-enabled development practices.
Core experience in DevOps, Cloud, Python, React & JavaScript.
If this sounds like an interesting opportunity to you, feel free to apply for this position or drop me your CV.
AI Augmentation Engineering Lead in Slough employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Augmentation Engineering Lead in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with AI and engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI, DevOps, or any relevant tech. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and engineering practices. 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. Plus, we love seeing passionate candidates who are eager to drive AI adoption in engineering.
We think you need these skills to ace AI Augmentation Engineering Lead in Slough
Some tips for your application 🫡
Show Your Passion for AI: Make sure to highlight your genuine enthusiasm for AI in your application. We love candidates who are excited about experimenting with new tools and technologies, so let that passion shine through!
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the job description. Focus on your core experience in DevOps, Cloud, Python, React, and JavaScript, as these are key areas for us.
Demonstrate Your Understanding of the SDLC: In your application, show us that you understand the software development lifecycle and how AI can enhance each stage. We want to see examples of how you've driven adoption of AI tools in past projects.
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 Harvey Nash
✨Know Your AI Tools
Make sure you’re well-versed in the latest AI tools and technologies relevant to the role. Be prepared to discuss how you've used these tools in past projects and how they can enhance the software development lifecycle.
✨Showcase Your Experimentation Mindset
Since the role requires a passion for experimentation, come ready with examples of how you've tested new ideas or tools in your previous work. Highlight any successful POCs you've developed and the impact they had on engineering processes.
✨Understand the Development Lifecycle
Brush up on the software development lifecycle and be ready to explain how AI can improve each stage. This shows that you not only understand the technical aspects but also how to leverage AI effectively within them.
✨Demonstrate Your DevOps and Cloud Knowledge
Given the core experience required in DevOps and Cloud, prepare to discuss your hands-on experience with these technologies. Be specific about the tools you've used and how they integrate with AI practices to boost productivity.