At a Glance
- Tasks: Design and build an AI-driven automation platform from scratch.
- Company: Leading investment-focused organisation in London.
- Benefits: Competitive salary up to £120,000 and collaborative work culture.
- Other info: Opportunity to shape AI applications in financial services.
- Why this job: Make a real impact 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
Greenfield AI Automation Engineer employer: Annapurna
Join a leading investment-focused organisation in London, where you will have the unique opportunity to build a greenfield AI automation platform that delivers real business impact. With a highly collaborative work culture, strong technical ownership, and a focus on employee growth, this role offers a chance to shape the future of AI in operational workflows while working alongside talented professionals in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Greenfield AI Automation Engineer
✨Tip Number 1
Network like a pro! Reach out to folks 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 put in a good word for you.
✨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 in real-world scenarios.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Greenfield AI Automation 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 contribute to building our greenfield AI platform!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our needs. Don’t forget to mention your experience in building data pipelines and production systems — we love a good story about problem-solving!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's an automated reporting platform or a complex data pipeline, we want to see your hands-on experience. This is your opportunity to demonstrate your ability to turn manual processes into robust systems!
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 submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Annapurna
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and automation engineering. Brush up on your experience with data pipelines and production systems, as you'll likely be asked to discuss specific projects where you've implemented these skills.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world complexities you've tackled in previous roles. Think of examples where you’ve turned manual processes into automated systems, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Context
Since this role involves working closely with non-technical stakeholders, it’s crucial to demonstrate your ability to translate technical jargon into business language. Familiarise yourself with the financial services sector and be prepared to discuss how your work can drive business value.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current automation challenges or their vision for the AI platform. This shows your genuine interest and helps you assess if the role aligns with your career goals.
