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- Tasks: Design and implement cutting-edge AI solutions while collaborating with stakeholders.
- Company: Join EY, a leader in innovative technology and consulting.
- Benefits: Hybrid work model, travel opportunities, and personal growth within the Applied AI Engineering Academy.
- Other info: Exciting opportunities for career advancement in a dynamic environment.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Strong background in Python, cloud engineering, and microservices required.
The predicted salary is between 60000 - 80000 £ per year.
EY is seeking a Senior Consultant – Applied AI Engineer to operate as a hands-on engineer within a squad. This role requires designing and implementing robust AI solutions while engaging with stakeholders to ensure enterprise standards for reliability and security.
Ideal candidates will have a strong background in Python, cloud engineering, and microservices.
The position offers a hybrid work model with client travel across the UK and opportunities for personal growth within the Applied AI Engineering Academy.
Senior Applied AI Engineer - RAG & LLM Solutions in Manchester employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer - RAG & LLM Solutions in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and cloud solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you'll need to engage with stakeholders effectively.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Applied AI Engineer - RAG & LLM Solutions in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, cloud engineering, and microservices in your application. We want to see how your skills align with the role of a Senior Applied AI Engineer!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements mentioned in the job description. This shows us you’ve done your homework and are genuinely interested in the position.
Engage with Us: In your cover letter, let us know how you plan to engage with stakeholders and ensure reliability and security in your AI solutions. We love seeing candidates who can think beyond just coding!
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 us!
How to prepare for a job interview at EY
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions, especially around RAG and LLM. Be ready to discuss your previous projects and how you've implemented robust AI systems. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Off Your Python Skills
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your approach to coding challenges. Practising common algorithms and data structures in Python can really help you shine.
✨Engage with Stakeholders
This role involves working closely with stakeholders, so be prepared to talk about how you’ve successfully communicated technical concepts to non-technical audiences. Share examples of how you’ve gathered requirements and ensured that your solutions meet enterprise standards.
✨Be Ready for Cloud and Microservices Questions
Familiarise yourself with cloud engineering principles and microservices architecture. Expect questions on how you’ve used these technologies in past projects. Being able to articulate your experience with cloud platforms and how they integrate with AI solutions will set you apart.