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- Tasks: Lead AI projects, mentor engineers, and develop Azure-native frameworks for impactful solutions.
- Company: Prestigious financial organisation at the forefront of AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a pioneering team driving advanced AI adoption in a collaborative environment.
- Qualifications: Extensive cloud AI experience, strong Python and SQL skills, and a Data Science background.
- Other info: Exciting opportunity to shape the future of AI in finance.
The predicted salary is between 48000 - 72000 £ per year.
A prestigious financial organisation is seeking a Lead AI Engineer to spearhead a major AI initiative. In this hybrid role, you will take charge of AI development in a collaborative environment, leading projects, mentoring engineers, and building Azure-native frameworks for impactful AI solutions.
Ideal candidates will have:
- Extensive hands-on experience in cloud AI
- Knowledge of Large Language Models
- Strong coding skills in Python and SQL
- A background in Data Science
Join this exciting journey towards advanced AI adoption.
Lead AI Engineer – Agentic AI on Azure (Hybrid, London) employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer – Agentic AI on Azure (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space, especially those who work at financial organisations. 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 Azure and Large Language Models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practising with friends or using online platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Lead AI Engineer – Agentic AI on Azure (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud AI and Large Language Models. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this Lead AI Engineer role. Share your passion for AI and how your background in Data Science aligns with our goals. Keep it engaging and personal!
Showcase Your Leadership Skills: Since this role involves mentoring engineers and leading projects, make sure to highlight any previous leadership experiences. We love to see examples of how you've guided teams or driven successful AI initiatives.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at TRIA
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI development, especially in the context of Azure. Be ready to discuss your hands-on experience with cloud AI and Large Language Models, as this will show that you’re not just familiar with the theory but have practical skills to back it up.
✨Show Off Your Coding Skills
Since strong coding skills in Python and SQL are a must, prepare to demonstrate your proficiency. You might be asked to solve a coding problem or explain your thought process behind a project. Practise common coding challenges and be ready to talk about your past projects where you used these languages.
✨Be a Team Player
This role involves leading projects and mentoring engineers, so highlight your collaborative skills. Share examples of how you've successfully worked in teams, led initiatives, or mentored others. This will show that you can thrive in a collaborative environment, which is key for this position.
✨Prepare Questions
Interviews are a two-way street, so come prepared with insightful questions about the company’s AI initiatives and team dynamics. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and work style.
