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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Innovation Technical Solutions Consultant, Google Cloud (English, German) - **Company:** Google - **Location:** München, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Automation of Tests, BigQuery, Information Engineering, Data Vault Modeling, Relational Databases, Software Design Patterns, DevOps, Data Flow Control, Monitoring of Systems, Python (Programming Language), Machine Learning, NoSQL, Trunk-based Development, Google Cloud, Deep Learning, Generative AI, Build Management, Data Lakes, Information Technology, Star Schema, Terraform, Golang, Programming Languages - **Published:** June 4, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=4943f88f461e18b9 ## About the Role Do you have experience in Terraform?, Do you have a Bachelor's degree?, * 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., * 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 (trunk-based development, automated testing, blue/green deployments). ## Description * 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Got AI ideas but no money? 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