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- Tasks: Accelerate data migration and enhance developer productivity using AI and GenAI tools.
- Company: Global financial markets organisation with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a high-impact role that shapes the future of engineering practices with AI.
- Qualifications: Experience in AI engineering and familiarity with Azure technologies.
- Other info: Dynamic environment with significant opportunities for career advancement.
The predicted salary is between 60000 - 80000 £ per year.
Cititec are working with a global financial markets organisation on a large scale data and platform transformation. They are looking for a Senior AI Engineer to help accelerate the migration of a complex data estate from Oracle to a Microsoft centric architecture across Azure, Cosmos DB, Microsoft Fabric and Azure Data Factory.
The role will focus on applying AI and GenAI to improve developer productivity and engineering throughput, particularly across data migration, code generation and developer tooling. This includes deploying AI agents and AI assisted development tools within the Azure ecosystem.
This is a high impact role operating across a large engineering environment, helping scale modern engineering practices and AI enabled development across a significant developer base.
AI Engineer in London employer: Cititec
Contact Detail:
Cititec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects, especially those related to data migration and Azure tools. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and maybe even do mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive roles that might not be listed elsewhere. Plus, it shows you're genuinely interested in joining our team and makes it easier for us to find your application.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Azure, data migration, and any AI projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've applied AI or worked with Microsoft technologies. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Cititec
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure, Cosmos DB, and Microsoft Fabric. Brush up on your knowledge of AI applications in these environments, as you'll likely be asked how you can leverage them to improve developer productivity.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've applied AI or GenAI to solve complex problems, particularly in data migration or code generation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Business Context
Research the financial markets organisation and understand their challenges and goals. Being able to articulate how your skills can help them accelerate their data transformation will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, engineering practices, and how they envision AI transforming their workflows. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.