Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Senior Forward Deployed Engineer, Generative AI, Google Cloud - Munich, Berlin, Frankfurt or Hamburg role.

Rezi rewrites your resume against Google's job description. Free.

Tailor your resume to this Senior Forward Deployed Engineer, Generative AI, Google Cloud - Munich, Berlin, Frankfurt or Hamburg role.

Rezi rewrites your resume against Google's job description. Free.

Tailor my resume

Don't guess if your resume is good enough.

See how it scores against the Senior Forward Deployed Engineer, Generative AI, Google Cloud - Munich, Berlin, Frankfurt or Hamburg posting at Google — free, in seconds.

Don't guess if your resume is good enough.

See how it scores against the Senior Forward Deployed Engineer, Generative AI, Google Cloud - Munich, Berlin, Frankfurt or Hamburg posting at Google — free, in seconds.

Get my score

About the Role

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded developer who bridges the gap between frontier AI products and production-grade reality within customers. You will function as an "innovator-developer," coding, debugging, and jointly shipping bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, addressing blockers to production such as integration complexities, data readiness issues, and state-management challenges. By embedding with strategic accounts, you will provide "white glove" deployment of complex AI systems and act as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Requirements

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with software development using Python or similar coding languages.
• Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience leading technical discovery sessions.

Skills

• Python
• AI
• Cloud Platforms (e.g., GCP)
• Vector Databases
• RAG-like architectures
• Multi-agent systems
• LangGraph
• CrewAI
• ADK
• ReAct
• Self-reflection
• Hierarchical delegation
• LLM-native metrics (e.g., tokens/sec, cost-per-request)
• State management
• Granular tracing

Experience Level

• 5 years of experience with software development

Education Level

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• Master’s or PhD in AI, Computer Science, or a related technical field.

Salary/Compensations

• Germany: €128000 - €131000 (EUR) + 15% bonus target + equity + benefits

Benefits

• 15% bonus target
• equity
• benefits

About the Company

• Google Cloud is a leader in the AI revolution for businesses worldwide, leveraging Google's brand credibility and foundational technologies. We provide the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform. We foster a collaborative culture with direct access to DeepMind's engineering and research minds.