At a Glance
- Tasks: Build and deploy innovative AI solutions in a greenfield environment.
- Company: Leading investment management organisation with a focus on AI technology.
- Benefits: Flexible hybrid work, competitive pay, and the chance to shape AI from scratch.
- Other info: Join a dynamic team and enjoy opportunities for professional growth.
- Why this job: Take ownership of exciting AI projects and make a real impact in financial services.
- Qualifications: Experience in financial services and a passion for AI development.
The predicted salary is between 50000 - 70000 £ per year.
A leading investment management organisation is looking for an AI Solutions Engineer to help deliver practical AI solutions across the business.
It's a greenfield AI environment and there's an opportunity to shape from the ground up - it's a role for someone who wants genuine ownership of building an AI platform from scratch.
You'll be the hands-on engineer responsible for building and deploying AI solutions across the business. Think Azure AI Foundry, Copilot Studio, and M365 - designing, prototyping, and delivering AI applications at pace, whilst ensuring everything is secure, scalable and compliant.
Please note, financial services or regulated environment experience is required.
Remote Engineer:in (m/w/d) employer: Morson Edge
Join a leading investment management organisation that values innovation and creativity, offering you the chance to take ownership of building AI solutions from the ground up in a dynamic hybrid work environment in London. With a strong focus on employee growth, you'll have access to cutting-edge technology and the opportunity to shape the future of AI in financial services, all while being part of a collaborative and supportive team culture that prioritises your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineer:in (m/w/d)
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector and let them know you're on the hunt for an AI Solutions Engineer role. A personal connection can often get your foot in the door faster than any application.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your experience in building AI solutions. This is your chance to demonstrate your hands-on engineering abilities and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Azure AI Foundry and other relevant tools. Be ready to discuss how you would approach building an AI platform from scratch, as this will show your genuine interest and expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over others. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Remote Engineer:in (m/w/d)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Solutions Engineer. Highlight your experience in building and deploying AI solutions, especially in financial services. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our greenfield environment. Let us know what excites you about building an AI platform from scratch.
Showcase Relevant Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's using Azure AI Foundry or designing AI applications, we want to see your hands-on experience and how you've tackled challenges in the past.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen to join our team at StudySmarter!
How to prepare for a job interview at Morson Edge
✨Know Your AI Tools
Familiarise yourself with the specific AI tools mentioned in the job description, like Azure AI Foundry and Copilot Studio. Be ready to discuss how you've used these or similar technologies in past projects, as this will show your hands-on experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially in a greenfield environment. Highlight your ability to think critically and creatively when building AI solutions, as this is crucial for shaping the platform from scratch.
✨Understand Financial Services Regulations
Brush up on the key regulations and compliance issues in the financial services sector. Being able to discuss how you ensure security and compliance in your AI solutions will demonstrate your readiness for the role and your understanding of the industry.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for their AI platform and how they measure success. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals.
