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: Hybrid work model, competitive pay, and the chance to shape AI from scratch.
- Other info: Opportunity to work in a dynamic, fast-paced environment with growth potential.
- Why this job: Take ownership of exciting AI projects and make a real impact in financial services.
- Qualifications: Experience in financial services and hands-on AI engineering skills required.
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.
Training & Content Engineer employer: Morson Edge
Join a leading investment management organisation in London, where innovation meets opportunity. As a Training & Content Engineer, you'll thrive in a dynamic hybrid work culture that fosters collaboration and creativity, while enjoying comprehensive benefits and professional development opportunities. This role offers the unique chance to shape cutting-edge AI solutions in a greenfield environment, making a meaningful impact on the future of financial services.
StudySmarter Expert Advice🤫
We think this is how you could land Training & Content Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services and AI sectors on LinkedIn. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those relevant to financial services. This will not only impress potential employers but also demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of Azure AI Foundry and other tools mentioned in the job description. We want you to feel confident and ready to tackle any questions thrown your way.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Training & Content Engineer
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 align with the job description!
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 building an AI platform from scratch. Let us know what excites you about this opportunity!
Showcase Relevant Projects:If you've worked on any projects related to Azure AI Foundry or similar technologies, make sure to mention them. We love seeing practical examples of your work that demonstrate your hands-on engineering skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 similar technologies in past projects and how you can apply them in this role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in building and deploying AI solutions. Highlight your ability to think critically and adapt quickly, especially in a greenfield environment where innovation is key.
✨Understand Financial Services Regulations
Brush up on the regulations and compliance standards relevant to financial services. Being able to speak knowledgeably about these will demonstrate your readiness to work in a regulated environment and show that you take security seriously.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for their AI platform and how they see it evolving. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
