AWS AI Platform Engineering Lead
AWS AI Platform Engineering Lead

AWS AI Platform Engineering Lead

Full-Time 80000 - 100000 £ / year (est.) No home office possible
LSEG

At a Glance

  • Tasks: Lead the design and build of an innovative AWS AI platform.
  • Company: Join LSEG, a dynamic company that values innovation and diversity.
  • Benefits: Enjoy a competitive salary and a culture that fosters growth.
  • Other info: Collaborate with diverse teams and vendors in a fast-paced environment.
  • Why this job: Be at the forefront of AI adoption and make a real impact.
  • Qualifications: Extensive AWS experience and strong CI/CD skills required.

The predicted salary is between 80000 - 100000 £ per year.

LSEG is seeking a Manager to lead the design and build of their next generation AWS AI platform. This role involves providing technical leadership, owning architectural decisions, and collaborating with internal teams and vendors.

Candidates should have extensive AWS platform experience, a strong CI/CD background, and proficiency in Infrastructure-as-Code tools. The position is integral to accelerating AI adoption, and LSEG offers a dynamic organizational culture that values innovation and diversity.

AWS AI Platform Engineering Lead employer: LSEG

LSEG is an exceptional employer that fosters a dynamic and inclusive work culture, encouraging innovation and collaboration among its teams. As an AWS AI Platform Engineering Lead, you will have access to extensive professional development opportunities, allowing you to grow your skills in a cutting-edge environment while contributing to the acceleration of AI adoption. Located in a vibrant area, LSEG offers a unique blend of career advancement and a supportive atmosphere that values diversity and creativity.
LSEG

Contact Detail:

LSEG Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AWS AI Platform Engineering Lead

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.

✨Tip Number 2

Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in AWS and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.

✨Tip Number 3

Showcase your projects! If you've built anything cool on AWS or have experience with CI/CD, make sure to highlight that in your conversations. We love seeing real-world applications of your skills.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for innovative minds to join our team!

We think you need these skills to ace AWS AI Platform Engineering Lead

AWS Platform Experience
Technical Leadership
Architectural Decision-Making
Collaboration Skills
CI/CD Background
Infrastructure-as-Code Proficiency
AI Adoption Acceleration
Innovation Mindset
Diversity Awareness

Some tips for your application 🫡

Show Off Your AWS Skills: Make sure to highlight your extensive experience with AWS in your application. We want to see how you've used AWS to drive innovation and solve problems in previous roles.

CI/CD is Key: Don’t forget to mention your strong CI/CD background! We’re looking for someone who can streamline processes, so share any relevant projects or tools you’ve worked with.

Talk About Teamwork: This role involves collaborating with internal teams and vendors, so let us know about your experience working in diverse teams. We love seeing how you’ve contributed to a team’s success!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at LSEG

✨Know Your AWS Inside Out

Make sure you brush up on your AWS knowledge before the interview. Familiarise yourself with the latest features and services, especially those related to AI and machine learning. Being able to discuss specific AWS tools and how you've used them in past projects will show that you're not just familiar with the platform but are also passionate about it.

✨Showcase Your CI/CD Expertise

Since this role requires a strong CI/CD background, be prepared to discuss your experience with continuous integration and deployment pipelines. Bring examples of how you've implemented these processes in previous roles, and be ready to explain the benefits they brought to your projects. This will demonstrate your technical leadership capabilities.

✨Highlight Infrastructure-as-Code Skills

Proficiency in Infrastructure-as-Code tools is key for this position. Make sure to mention any specific tools you've used, like Terraform or CloudFormation, and provide examples of how you've leveraged them to improve efficiency and scalability in your projects. This will help illustrate your hands-on experience and problem-solving skills.

✨Emphasise Collaboration and Leadership

This role involves working closely with internal teams and vendors, so it's important to highlight your collaboration skills. Share examples of how you've led teams or projects, particularly in cross-functional settings. Discuss how you foster innovation and inclusivity within your team, aligning with LSEG's values of diversity and creativity.

AWS AI Platform Engineering Lead
LSEG

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