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- Tasks: Lead AI projects, mentor engineers, and develop Azure-native agent frameworks.
- Company: Prestigious financial organisation launching a major AI initiative.
- Benefits: Competitive salary, 20% bonus, 20% pension contribution, and hybrid work.
- Why this job: Join a cutting-edge team and make a real impact in AI adoption.
- Qualifications: Hands-on AI development experience and strong coding skills in Python and SQL.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 60000 - 84000 £ per year.
This is an exciting opportunity for a Lead AI Engineer to join a prestigious financial organisation as they launch a major AI initiative. Having completed their digital and data transformation programme, the organisation now operates fully in Azure Cloud and is making significant strides in AI adoption. They’ve built an AI platform designed to improve efficiency for both internal and external facing users.
This is a hands-on technical leadership role. You’ll lead projects and mentor engineers while actively developing Azure-native agent frameworks and building team-specific AI applications that deliver business outcomes. You’ll work in a cross-functional team alongside an AI Engineering Manager, Architect, DevOps Engineers, AI Test Lead, Data Scientists, and Project Managers.
What we’re looking for:
- Hands-on AI development experience in a cloud environment (Open to all platforms)
- Proven experience in a senior/lead (technical leadership and project ownership)
- Practical experience with Large Language Models (LLMs) in production environments
- Experience with Agentic AI/Agent Orchestration and building frameworks that have delivered business outcomes
- Strong coding skills in Python and SQL
Desirable:
- Background in Data Science
- Light front-end development, for example being able to create internal web applications
If you’re passionate about building practical AI solutions and want to work in a collaborative environment that takes AI seriously, please apply directly and we’ll be in touch with more details.
Generative AI Engineer employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, especially those who work in financial organisations. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure and LLMs. 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 communicate effectively with cross-functional teams.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on AI development experience and any projects where you've led teams or delivered business outcomes.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role. Share specific examples of your work with Large Language Models and Agentic AI, and how they relate to the position.
Showcase Your Technical Skills: Don’t forget to mention your coding skills in Python and SQL! If you’ve worked on Azure-native frameworks or built AI applications, make sure to include those details to stand out.
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 get back to you quickly with next steps!
How to prepare for a job interview at TRIA
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI, especially around Large Language Models and Agentic AI. Be ready to discuss your hands-on experience in cloud environments and how you've applied these technologies in real-world projects.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare examples of how you've led projects or mentored other engineers. Highlight specific instances where your guidance made a difference in project outcomes or team dynamics.
✨Get Familiar with the Company’s AI Initiatives
Research the financial organisation's recent AI initiatives and their AI platform. Understanding their goals and challenges will help you tailor your responses and demonstrate your genuine interest in contributing to their success.
✨Prepare for Technical Questions
Expect to dive deep into coding and technical scenarios during the interview. Brush up on Python and SQL, and be ready to solve problems on the spot. Practising common coding challenges can give you an edge.
