At a Glance
- Tasks: Design and build an AI-driven automation platform from scratch.
- Company: Leading investment-focused organisation in London with a hybrid work model.
- Benefits: Competitive salary up to £120,000, flexible working, and impactful projects.
- Other info: Collaborative environment with opportunities for technical ownership and career growth.
- Why this job: Make a real difference by transforming complex workflows into automated systems.
- Qualifications: Strong Python, SQL skills, and experience in automation engineering.
The predicted salary is between 100000 - 120000 € per year.
We’re partnering with a highly regarded investment-focused organisation to hire an Applied AI / Automation Engineer into their London team. This is a hands-on, high-impact role focused on building an intelligent automation platform that transforms complex operational workflows into scalable, production-grade systems.
The Role
You’ll take ownership of designing and delivering an end-to-end AI-driven reporting and automation platform, working closely with Data Science and operational stakeholders. This is a build-from-scratch opportunity — ideal for someone who enjoys solving real-world complexity and turning manual processes into robust, automated systems.
What You’ll Be Doing
- Designing and building an automated reporting platform from the ground up
- Creating intelligent workflows across data ingestion, validation, and reconciliation
- Implementing AI-driven and agent-based automation to streamline operations
- Introducing exception handling and human-in-the-loop systems where needed
- Ensuring systems are accurate, auditable, and production-ready
- Partnering closely with product and operations teams to translate business problems into scalable solutions
- Evolving tooling into a maintainable internal product, not just scripts
What They’re Looking For
- Strong experience in Python, SQL, and automation engineering
- Proven track record building data pipelines and production systems
- Experience integrating systems via APIs and structured data feeds
- Solid understanding of CI/CD, testing, and system reliability
- Strong systems thinking and end-to-end architecture capability
- Ability to work closely with non-technical stakeholders
Nice to have:
- Experience in financial services / regulated environments
- Exposure to reconciliation, accounting, or control processes
- Experience with workflow orchestration tools or internal platforms
- Frontend/tooling exposure (e.g. React / TypeScript)
Why Join?
- Opportunity to build a greenfield AI platform with real business impact
- Work at the intersection of AI, automation, and complex financial systems
- Highly collaborative environment with strong technical ownership
- Chance to shape how AI is applied to real-world operational workflows
Artificial Intelligence Engineer employer: Annapurna
Join a leading investment-focused organisation in London as an Applied AI / Automation Engineer, where you'll have the unique opportunity to build a greenfield AI platform that delivers real business impact. Enjoy a highly collaborative work culture that fosters technical ownership and innovation, alongside competitive remuneration and a hybrid working model. With a strong emphasis on employee growth and development, this role is perfect for those looking to make a meaningful contribution in the dynamic field of AI and automation.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and automation. This is your chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and real-world scenarios. Practice explaining your thought process and how you've tackled complex problems in the past — this will help you stand out!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Keep an eye on our job listings and make sure your application shines!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python, SQL, and automation engineering experience, as well as any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and automation, and how your background makes you a perfect fit for this role. Don’t forget to mention your experience with building data pipelines and production systems.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We love candidates who can turn manual processes into automated systems, so share any relevant experiences that demonstrate your ability to innovate and improve workflows.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to showcase your application in the best light. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Annapurna
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and automation engineering skills. Be ready to discuss specific projects where you've built data pipelines or production systems. The more you can demonstrate your technical prowess, the better!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex operational workflows in the past. Think about times when you've turned manual processes into automated systems. This role is all about solving real-world problems, so highlight your experience in this area.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the specific challenges it faces. Being able to speak knowledgeably about how AI can impact operations in this field will set you apart from other candidates.
✨Communicate Effectively with Non-Techies
Since you'll be working closely with non-technical stakeholders, practice explaining complex concepts in simple terms. Show that you can bridge the gap between tech and business, making you a valuable asset to the team.