At a Glance
- Tasks: Design and build innovative AI solutions for the finance industry using cutting-edge technologies.
- Company: Join Google Cloud, a leader in digital transformation and innovative tech solutions.
- Benefits: Competitive salary, flexible working locations, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by transforming financial workflows with AI and machine learning.
- Qualifications: Bachelor's degree in Computer Science and 7 years of relevant experience required.
The predicted salary is between 80000 - 100000 £ per year.
By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Frankfurt, Germany; Munich, Germany.
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.
- Ability to communicate in English and German fluently in order to support client relationship management in Germany.
Preferred qualifications:
- Experience in financial services, and with the regulatory and operational clearing, settlement, or custody.
- Experience with Financial Services Institution (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 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 Developer Operations culture (trunk-based development, automated testing, blue/green deployments).
About the job:
The Global Solutions and Consumer AI team accelerates customer value and increases adoption by delivering innovative, repeatable, and enterprise-ready solutions focused on business value. Make Google Cloud the preferred choice for customers by delivering the highest-value, industry relevant solutions.
In this role, you will collaborate with clients to transform initial concepts into reality. You will create solutions using the latest machine learning and generative AI technologies to replace traditional workflows for a customer in the capital markets finance industry. You will work at the heart of financial market infrastructures (FMIs) including high-stakes clearing, settlement, and custody environments to identify where AI can drive systemic efficiency.
You will act as a motivated innovator and builder who can operate with minimal guidance. You will not only code and create functional prototypes but also help define the critical user journeys (CUJs) and technical requirements that turn a proof-of-concept (POC) into a scalable, production-ready solution usable across a broad base of Google Cloud Platform (GCP) clients.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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 users) 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 continuous integration (CI)/ continuous delivery (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 Technical Solutions Consultant, Google Cloud (English, German) in London employer: Google
At Google Cloud, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in a dynamic work environment. Our London, Frankfurt, and Munich locations offer a vibrant culture where employees are encouraged to grow their skills and advance their careers while working on cutting-edge AI technologies. With a strong focus on employee well-being and professional development, we provide unique opportunities to engage with industry leaders and make a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Innovation Technical Solutions Consultant, Google Cloud (English, German) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI solutions. We want you to feel confident and ready to impress!
✨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!
We think you need these skills to ace AI Innovation Technical Solutions Consultant, Google Cloud (English, German) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the job description. Highlight your experience in software or data engineering, especially with programming languages like Python or Java. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific projects where you've used machine learning methodologies or generative AI. We love seeing real-world applications of your skills, so don’t hold back on the details that show off your innovative side!
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 makes you a perfect fit. We appreciate a personal touch, so let your personality come through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Google
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and technologies mentioned in the job description, like Python, Go, and Java. Brush up on design patterns, testing frameworks, and API contract design, as these will likely come up during technical discussions.
✨Showcase Your AI Knowledge
Be prepared to discuss your experience with machine learning methodologies, especially deep learning and generative AI. Have examples ready that demonstrate how you've applied these technologies in real-world scenarios, particularly in financial services or similar industries.
✨Communicate Clearly in Both Languages
Since fluency in English and German is crucial for this role, practice articulating your thoughts in both languages. You might be asked to explain complex concepts in a way that’s easy to understand, so clarity is key!
✨Prepare for Problem-Solving Questions
Expect to tackle questions that assess your ability to move from vague business problems to structured product requirements. Think of past experiences where you’ve successfully driven discovery phases and created working technical demos, and be ready to share those stories.
