AI Architect

AI Architect

Full-Time 55000 - 100000 £ / year (est.) No working from home possible
MBN Solutions

At a Glance

  • Tasks: Design and implement AI solutions for financial services, driving innovation and efficiency.
  • Company: Leading financial services firm with a focus on AI technology.
  • Benefits: Attractive salary, cash bonus, extensive benefits, and hybrid working options.
  • Other info: Exciting career progression opportunities in a fast-paced environment.
  • Why this job: Join a dynamic team and shape the future of AI in finance.
  • Qualifications: Experience in AI architecture and strong problem-solving skills.

The predicted salary is between 55000 - 100000 £ per year.

Roles range from £55,000 up to £100,000 + £6K Cash + Bonus + Extensive Package.

Location: North West / Manchester area Hybrid | Up to 3 days/week on client site.

We’re hiring multiple AI Solution Architects across Manager, Senior Manager, and Associate Director level within a leading Financial Services AI.

AI Architect employer: MBN Solutions

Join a leading Financial Services AI firm that prioritises innovation and employee development, offering competitive salaries and an extensive benefits package. With a hybrid work model in the vibrant North West / Manchester area, you'll enjoy a collaborative work culture that fosters growth and creativity, making it an ideal environment for AI Architects looking to make a meaningful impact in the industry.

MBN Solutions

Contact Details:

MBN Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Architect

Tip Number 1

Network like a pro! Reach out to folks in the financial services sector, especially those already working as AI Architects. A friendly chat can open doors and give us insights into what hiring managers are really looking for.

Tip Number 2

Showcase your skills! When you get the chance to meet potential employers, be ready to discuss your past projects and how they relate to AI solutions in finance. We want to see your passion and expertise shine through!

Tip Number 3

Prepare for interviews by brushing up on common AI-related questions and case studies specific to financial services. We can help you with resources to practice and feel confident when it’s time to impress the interviewers.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities that you won’t find elsewhere.

We think you need these skills to ace AI Architect

AI Solution Architecture
Financial Services Knowledge
Client Engagement
Hybrid Working
Project Management
Team Leadership
Strategic Thinking

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Architect role. Highlight your relevant experience in financial services and any specific AI projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how you can contribute to our team. Keep it engaging and make sure to mention why you’re excited about working with us at StudySmarter.

Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've made an impact in previous roles. We love seeing how you've driven results in the past.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!

How to prepare for a job interview at MBN Solutions

Know Your AI Inside Out

Make sure you’re well-versed in the latest AI technologies and trends, especially those relevant to financial services. Brush up on your knowledge of machine learning, data analytics, and any specific tools or frameworks mentioned in the job description.

Showcase Your Problem-Solving Skills

Prepare to discuss real-world scenarios where you've successfully implemented AI solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how your contributions made a difference.

Understand the Financial Services Landscape

Familiarise yourself with the challenges and opportunities within the financial services sector. Be ready to discuss how AI can address these issues and improve efficiency, compliance, or customer experience.

Ask Insightful Questions

Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current AI projects, team dynamics, or future goals. This shows you’re not just interested in the position but also in contributing to their success.