At a Glance
- Tasks: Lead architectural decisions for an AI-enabled platform and mentor senior engineers.
- Company: Leading technology company in London with a focus on innovation.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment fostering collaboration and innovation.
- Why this job: Shape the future of AI technology while collaborating with top talent.
- Qualifications: 10+ years of experience in software engineering and deep AWS expertise.
The predicted salary is between 54000 - 84000 £ per year.
A leading technology company in London seeks a Principal Software Engineer with over 10 years of experience to lead architectural decisions for their AI-enabled platform. The role requires deep AWS platform expertise and the ability to mentor senior engineers. Candidates should have experience in designing production AI systems and governing AI practices. A flexible work environment is offered with a hybrid model, ensuring strong collaboration and innovation.
Principal AI Platform Architect (AWS, Serverless) employer: Diligent Corporation
As a leading technology company in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our flexible hybrid work model not only supports work-life balance but also provides ample opportunities for professional growth and mentorship, particularly for those in senior engineering roles. Join us to be part of a forward-thinking team that is shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Platform Architect (AWS, Serverless)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI and AWS. 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, especially those involving AI systems and AWS. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as you'll need to mentor others and lead architectural decisions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Principal AI Platform Architect (AWS, Serverless)
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 10+ years of experience in your application. We want to see how you've led architectural decisions and mentored others, so don’t hold back on those details!
Tailor Your Application:Customise your CV and cover letter to reflect the specific skills mentioned in the job description, especially your AWS platform expertise. We love seeing candidates who take the time to align their experience with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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. We can’t wait to hear from you!
How to prepare for a job interview at Diligent Corporation
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around serverless architectures. Be ready to discuss specific projects where you've implemented AWS solutions and how they contributed to the success of AI systems.
✨Showcase Your Mentorship Skills
Prepare examples of how you've mentored senior engineers in the past. Highlight your approach to guiding teams through architectural decisions and fostering a collaborative environment, as this role will require strong leadership.
✨Demonstrate Your AI Expertise
Be ready to dive deep into your experience with designing production AI systems. Discuss the challenges you faced, the governance practices you implemented, and how you ensured the systems were robust and scalable.
✨Embrace the Hybrid Work Model
Since the company offers a flexible work environment, think about how you can contribute to collaboration in a hybrid setting. Share your thoughts on maintaining team cohesion and innovation, regardless of where team members are working from.
