At a Glance
- Tasks: Design and build innovative AI workflows using cutting-edge technologies.
- Company: Join Deutsche Borse Group at Google Cloud, a leader in tech innovation.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Other info: Work in a diverse environment with opportunities for growth and development.
- Why this job: Make a real impact by delivering enterprise-ready AI solutions.
- Qualifications: Bachelor's degree in Computer Science and 7 years of relevant experience.
The predicted salary is between 70000 - 90000 £ per year.
Minimum qualifications:
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- 7 years of experience in software or data engineering, including one or more programming languages (e.g., Python, Go, Java), and with design patterns, testing frameworks, and API contract design.
- Experience using machine learning methodologies (deep learning, reinforced learning), model identification, selection and AI operations (e.g., model monitoring).
- Experience using Generative AI and agentic orchestration utilizing frameworks (e.g., LangChain, CrewAI, or Vertex AI Agent Builder) and vector databases.
Preferred qualifications:
- Experience in financial services, and with the regulatory and operational clearing, settlement, or custody.
- Experience with FSI regulatory practices and data residency, encryption at rest/transit (CMEK), and "explainable AI" requirements in banking.
- Experience with data modeling of relational, NoSQL, and analytical data modeling (Star Schema, Data Vault, etc.).
- Experience in BigQuery, Vertex AI, Dataflow, and Pub/Sub with an ability to drive the discovery phase, moving from a vague business problem to a structured product requirement document (PRD) and a working technical demo.
- Experience working in a high-maturity DevOps culture (e.g., trunk-based development, automated testing, blue/green deployments).
About the job:
In this role, you will accelerate customer value and increase adoption by delivering innovative, repeatable, and enterprise‑ready solutions focused on business value.
Responsibilities:
- Design and build autonomous agentic workflows utilizing machine learning and generative AI technologies as part of a fully autonomous or human-in-the-loop agentic workflow.
- Partner with client leads (business user) to identify high-impact AI use cases. Translate these into product requirement documents (PRDs), clearly defining critical user journeys (CUJs) and success metrics.
- Evaluate and integrate AI solutions with modern data foundations, including relational databases, data lake houses, and real‑time streaming architectures.
- Ensure all prototypes are built with a "production‑first" mindset. Implement basic CI/CD pipelines and utilize infrastructure‑as‑code (IaC) (e.g., Terraform) to ensure environments are reproducible and secure.
- Create clear technical guides to ensure a seamless hand‑off from POC to engineering teams.
AI Innovation Engineer, Deutsche Borse Group, Google Cloud in London employer: United States Digital Space LLC
Deutsche Börse Group, in collaboration with Google Cloud, offers an exceptional work environment for AI Innovation Engineers, fostering a culture of innovation and collaboration in the vibrant cities of Frankfurt, Munich, or London. Employees benefit from competitive salaries, generous bonuses, equity options, and a commitment to professional growth through cutting-edge projects in machine learning and generative AI. With a strong focus on diversity and inclusion, the company ensures that every team member feels valued and empowered to contribute to transformative solutions in the financial services sector.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Innovation Engineer, Deutsche Borse Group, Google Cloud in London
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We think you need these skills to ace AI Innovation Engineer, Deutsche Borse Group, Google Cloud in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at United States Digital Space LLC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
