At a Glance
- Tasks: Lead AI solutions delivery and business development for top companies.
- Company: Wavestone, a leader in Data & AI consulting.
- Benefits: Competitive salary, mentorship opportunities, and dynamic work environment.
- Other info: Join a high-performing team and drive impactful projects.
- Why this job: Shape the future of AI while working with industry leaders.
- Qualifications: Deep technical skills in AI and strong communication abilities.
The predicted salary is between 70000 - 90000 £ per year.
Wavestone is looking for a Senior Consultant in Data & AI to lead delivery and business development for AI solutions within FTSE100 companies. This role involves collaborating with a high-performing team on AI strategy and engineering projects, and mentoring colleagues.
Ideal candidates possess deep technical skills, experience in AI systems, and the ability to communicate effectively with both technical and non-technical stakeholders. A combination of client-facing experience and a strong foundation in AI principles is essential.
Senior AI Engineer: GenAI, LLMs & Production Systems employer: Wavestone
Wavestone is an exceptional employer that fosters a collaborative and innovative work culture, where Senior AI Engineers can thrive while leading impactful AI solutions for FTSE100 companies. With a strong emphasis on professional development, employees are encouraged to grow their skills through mentorship and hands-on experience in cutting-edge projects, all within a dynamic environment that values both technical expertise and effective communication.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer: GenAI, LLMs & Production Systems
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, especially those who work with FTSE100 companies. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving GenAI and LLMs. This will help you stand out when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and non-technical communication. Practice explaining complex AI concepts in simple terms, as you'll need to engage with diverse stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior AI Engineer: GenAI, LLMs & Production Systems
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your technical expertise in AI systems and any relevant client-facing experience to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your work in AI strategy and engineering projects, and how you've successfully communicated with both technical and non-technical stakeholders.
Showcase Your Projects:If you've worked on any impressive AI projects, don’t hold back! Include links or descriptions of your work that demonstrate your deep technical skills and innovative thinking in AI solutions.
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 shows us you’re keen to join our team!
How to prepare for a job interview at Wavestone
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially around Generative AI and Large Language Models. Be ready to discuss specific projects you've worked on and how they relate to the role at Wavestone.
✨Showcase Your Communication Skills
Since you'll be dealing with both technical and non-technical stakeholders, practice explaining complex AI concepts in simple terms. Think of examples where you've successfully communicated technical details to clients or team members.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Prepare examples from your past experiences where you led AI projects or developed strategies that had a significant impact on business outcomes.
✨Highlight Your Mentoring Experience
As mentoring is part of the role, be ready to share your experiences in guiding colleagues or teams. Discuss your approach to mentoring and how it has helped others grow in their understanding of AI principles.
