Preferred Working Locations
By applying to this position you can indicate your preferred working location from the following: Frankfurt am Main, Germany; Munich, Germany; London, UK.
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 design patterns, testing frameworks, and API contract design.
- Experience using machine learning methodologies (deep learning, reinforcement 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, with 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. You will make Google Cloud the preferred choice for customers by delivering high‑value, industry‑relevant solutions. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge 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.
- 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 and 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.
Salary and Benefits: Germany: €150,000 – €154,000 (EUR) + 20% bonus target + equity + benefits.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
#J-18808-Ljbffr…