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For Companies At a Glance
- Tasks: Lead the development of AI solutions in a dynamic fintech environment.
- Company: Join a high-growth fintech innovator transforming Private Markets.
- Benefits: Competitive salary, bonus, and hybrid work model.
- Why this job: Shape the future of finance with cutting-edge AI technology.
- Qualifications: 8+ years in software engineering with leadership experience required.
- Other info: Collaborate with a world-class team and enjoy excellent career growth.
The predicted salary is between 43200 - 72000 £ per year.
Location: London (Hybrid)
Salary: Competitive + Bonus
The Role
Join a high-growth fintech innovator transforming Private Markets and Wealth Management. We are seeking a Lead AI Engineer to architect and scale agentic AI solutions. You will lead the integration of LLMs into complex trading and fund administration systems, moving beyond prototypes into production‑grade financial tools.
Key Requirements
- Experience: 8+ years in Software Engineering (Python / TypeScript) with 3+ years in a leadership role. Deep practical knowledge of LLMs (Claude, OpenAI, Gemini). Practical understanding of LLM orchestration and tool‑calling for LLMs.
- Domain: Proven experience with financial data. Familiarity with trading platforms or fund administration is a major plus.
- Leadership: Ability to mentor engineers and drive AI strategy with senior stakeholders.
Why Apply?
Build ‘Agentic’ workflows in a high‑stakes financial environment. Work with a world‑class team at the intersection of Fintech and Private Equity. Modern tech stack: Azure AI Studio, Foundry, and the latest LLM orchestration frameworks.
Lead AI Engineer in Southampton employer: Randstad Digital
Contact Detail:
Randstad Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in Southampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Lead AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving LLMs and financial data. 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 your leadership experience. Be ready to discuss how you've mentored engineers and driven AI strategies in previous roles. We want to see your impact!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead AI Engineer in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead AI Engineer. Highlight your experience with LLMs and any leadership roles you've held. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for fintech and how you can contribute to our mission. Don’t forget to mention specific projects or achievements that showcase your expertise in AI solutions.
Showcase Relevant Experience: When detailing your experience, focus on your work with financial data and any familiarity with trading platforms. We’re looking for someone who can hit the ground running, so make it clear how your background fits the bill.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Randstad Digital
✨Know Your Tech Stack
Make sure you’re well-versed in the modern tech stack mentioned in the job description, especially Azure AI Studio and LLM orchestration frameworks. Brush up on your Python and TypeScript skills, as these will be crucial for the role.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams and mentored engineers in the past. Highlight your ability to drive AI strategy and collaborate with senior stakeholders, as this is key for a Lead AI Engineer.
✨Understand Financial Data
Familiarise yourself with financial data and trading platforms. Be ready to discuss how your experience aligns with the fintech industry and how you can contribute to building agentic workflows in a high-stakes environment.
✨Prepare for Technical Questions
Expect technical questions about LLMs and their orchestration. Be prepared to discuss practical applications and share insights on moving prototypes into production-grade tools, as this will demonstrate your depth of knowledge and experience.
