Chief AI Engineer (Tech Co-Founder) - Fintech

Chief AI Engineer (Tech Co-Founder) - Fintech

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
We Are Agentic

At a Glance

  • Tasks: Lead the creation of an AI-native SaaS platform for fintech.
  • Company: Confidential fintech client in London with a focus on innovation.
  • Benefits: Autonomy in decision-making and the chance to build a top-tier team.
  • Other info: Opportunity to drive impactful projects in a fast-paced environment.
  • Why this job: Shape the future of fintech with cutting-edge AI technology.
  • Qualifications: Experience in building from scratch and expertise in cloud technologies.

The predicted salary is between 80000 - 100000 £ per year.

Confidential fintech client in London is seeking a Chief AI Engineer/CTO to architect and build an AI‑native enterprise SaaS platform for fund administration and KYC/AML. You will lead the technical direction, hire a small elite team, and drive fast, ship‑oriented delivery with autonomy from the CEO and business lead.

Ideal candidate has zero‑to‑one builder experience, deep cloud and data lake proficiency, and a track record hiring top engineers.

Chief AI Engineer (Tech Co-Founder) - Fintech employer: We Are Agentic

Join a dynamic fintech startup in the heart of London, where innovation meets opportunity. As a Chief AI Engineer, you'll not only lead the technical vision but also shape a collaborative culture that values autonomy and rapid delivery. With a focus on employee growth and the chance to build an elite team from the ground up, this role offers a unique platform for meaningful contributions in a thriving industry.

We Are Agentic

Contact Details:

We Are Agentic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Chief AI Engineer (Tech Co-Founder) - Fintech

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Apply Directly through Our Website

When you find a suitable opening like Chief AI Engineer (Tech Co-Founder) - Fintech at We Are Agentic, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Chief AI Engineer (Tech Co-Founder) - Fintech

AI Architecture
SaaS Development
Fund Administration Knowledge
KYC/AML Compliance
Team Leadership
Cloud Proficiency
Data Lake Management

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at We Are Agentic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at We Are Agentic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at We Are Agentic

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at We Are Agentic!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.