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- 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 plus bonus, hybrid work model, and career growth.
- Why this job: Make an impact by building cutting-edge AI tools for finance.
- Qualifications: 8+ years in software engineering with leadership experience required.
- Other info: Work with a world-class team and modern tech stack.
The predicted salary is between 43200 - 72000 £ per year.
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.
- Tech Stack: Extensive hands-on Azure experience and deep practical knowledge of LLMs (Claude, OpenAI, Gemini).
- Innovation: Practical understanding of MCP (Model Context Protocol) and tool-calling for LLMs.
- Domain: Proven experience with financial data. Familiarity with trading platforms or fund admin 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 employer: Randstad Digital
Contact Detail:
Randstad Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and AI space. Attend meetups, webinars, or industry events where you can chat with potential employers or colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and financial data. This is your chance to demonstrate your expertise and innovation in action, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership and technical skills. Be ready to discuss how you've mentored others and driven AI strategies in previous roles. Practice common interview questions related to software engineering and AI to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive about their job search. Plus, it gives us a chance to see your application in the best light possible. So, get that application in and let’s make some magic happen!
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your 8+ years in Software Engineering and any leadership roles you've held. We want to see how you fit into our vision!
Showcase Your Tech Skills: Don’t forget to mention your hands-on experience with Azure and LLMs like Claude or OpenAI. We’re looking for someone who can hit the ground running, so make those skills pop in your application!
Demonstrate Your Innovation: If you’ve got practical knowledge of MCP or tool-calling for LLMs, let us know! We love seeing candidates who can think outside the box and bring fresh ideas to the table.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Randstad Digital
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description, especially Azure and LLMs. Brush up on your Python and TypeScript skills, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Leadership Experience
Since this role requires leadership, prepare examples of how you've mentored engineers or led projects. Think about specific challenges you faced and how you drove AI strategy with stakeholders to achieve success.
✨Understand Financial Data
Familiarise yourself with financial data and trading platforms. Be prepared to discuss how your experience aligns with the fintech industry and how you can apply your knowledge to build agentic workflows.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in a high-stakes environment. Practice articulating your thought process clearly, especially when it comes to integrating LLMs into production-grade tools.
