Senior Applied AI Engineer - RAG & LLM Solutions
Senior Applied AI Engineer - RAG & LLM Solutions

Senior Applied AI Engineer - RAG & LLM Solutions

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
EY

At a Glance

  • Tasks: Deliver AI capabilities and collaborate with stakeholders in a hybrid working environment.
  • Company: Join EY, a diverse and team-focused consulting company.
  • Benefits: Flexible working, travel opportunities, and skill enhancement.
  • Other info: Exciting opportunity for career growth and innovation.
  • Why this job: Shape technological solutions and boost your consulting skills.
  • Qualifications: Strong knowledge in Python, cloud engineering, and microservice development.

The predicted salary is between 60000 - 80000 £ per year.

EY is seeking a Senior Consultant – Applied AI Engineer, responsible for delivering AI capabilities and collaborating with stakeholders in a hybrid working environment with possible client travel across the UK.

The ideal candidate will have strong knowledge in Python, cloud engineering, and microservice development. This role provides an opportunity to shape technological solutions while enhancing consulting skills within a diverse team-focused company.

Senior Applied AI Engineer - RAG & LLM Solutions employer: EY

EY is an exceptional employer that fosters a collaborative and innovative work culture, offering Senior Applied AI Engineers the chance to work on cutting-edge AI solutions in a hybrid environment. With a strong emphasis on professional development and diverse team dynamics, employees benefit from continuous learning opportunities and the chance to make a significant impact across various industries in the UK.
EY

Contact Detail:

EY Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Applied AI Engineer - RAG & LLM Solutions

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and tech space, especially those at EY or similar companies. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects, cloud engineering feats, and microservice developments. This is your chance to shine beyond the written application.

✨Tip Number 3

Prepare for interviews by brushing up on your consulting skills. Think about how you can communicate complex AI concepts clearly and effectively to stakeholders. Practice makes perfect!

✨Tip Number 4

Don't forget to apply through our website! We want to see your application and help you land that Senior Applied AI Engineer role. Let's make it happen together!

We think you need these skills to ace Senior Applied AI Engineer - RAG & LLM Solutions

Python
Cloud Engineering
Microservice Development
AI Capabilities
Stakeholder Collaboration
Consulting Skills
Technological Solutions
Teamwork

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python, cloud engineering, and microservice development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Applied AI Engineer position and how you can contribute to our team. Let’s see your personality come through!

Showcase Your Collaboration Skills: Since this role involves working with various stakeholders, make sure to mention any past experiences where you’ve successfully collaborated in a team. We love seeing how you can work well with others!

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!

How to prepare for a job interview at EY

✨Know Your Tech Inside Out

Make sure you brush up on your Python skills and understand cloud engineering concepts thoroughly. Be ready to discuss specific projects where you've implemented microservices, as this will show your practical experience and problem-solving abilities.

✨Showcase Your Collaboration Skills

Since the role involves working with diverse teams, prepare examples of how you've successfully collaborated with stakeholders in previous roles. Highlight any experiences where you’ve navigated challenges in a hybrid working environment.

✨Prepare for Scenario-Based Questions

Expect questions that assess your ability to deliver AI capabilities in real-world scenarios. Think about how you would approach a project from start to finish, including stakeholder engagement and technical implementation.

✨Ask Insightful Questions

At the end of the interview, have a few thoughtful questions ready about the company's AI strategy or team dynamics. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.

Senior Applied AI Engineer - RAG & LLM Solutions
EY

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