Partner Forward Deployed Engineer III, Generative AI (French, German)
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Partner Forward Deployed Engineer III, Generative AI (French, German)
AI/ML Software Engineer — GenAI & Agentic Architectures
Location: [Region: Germany/French-speaking] Mission: Build the future of enterprise through AI at Google Cloud.
About the Role
Work at the intersection of cutting-edge GenAI and enterprise-scale solutions, shaping production-grade agent autonomy—from visionary prototypes to actionable cloud deployments. This role empowers you to:
- Bridge Google’s pioneering AI models (including Gemini) with real-world business needs for global customers.
- Collaborate with DeepMind’s AI experts, leveraging Google’s Vertex AI and end-to-end AI platform to solve complex customer challenges.
- Lead field-ready AI systems with contributions from rapid prototyping to robust, scalable infrastructure.
- Push boundaries in multi-agent systems, LLM ops, and agentic workflows while embedding Google’s AI-driven culture.
It’s not just software development—it’s architecture for an era of enterprise AI.
Minimum Qualifications
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- Bachelor’s degree in Computer Science, AI, or a related technical field (or equivalent practical experience).
- 2 years of software development in 1+ programming languages, OR 1 year with a Master’s degree or PhD in a technical discipline.
- 1 year of ML infrastructure experience, covering:
- Model deployment
- Model evaluation & optimization
- Data processing pipelines
- Debugging
- Familiarity with GenAI techniques, including:
- LLMs (Large Language Models)
- Multi-modal systems
- Large Vision Models (LVMs)
- Proficiency in French and German to support client-relationship management in European markets.
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Preferred Qualifications
- Master’s degree or PhD in AI/ML, Computer Science, or equivalent.
- Expertise in multi-agent system development, including:
- Frameworks: LangGraph, CrewAI, Google’s Agent Development Kit (ADK)
- Advanced patterns: ReAct (Reason + Act), self-reflection, hierarchical delegation
- Deep knowledge of:
- LLM-native performance metrics (e.g., tokens/sec, cost-per-request)
- State management & granular tracing techniques
- Ability to design secure agentic workflows underpinning:
- Model Context Protocol (MCP)
- Tool-Calling frameworks
- OAuth-based authentication
Responsibilities
AI Product Leadership
- Transition AI prototypes to production-grade systems, optimizing for:
- Efficiency, safety, accuracy
- Integrity across multi-agent architectures
- Real-world business impact (ROI, adoption): e.g., workflows combining model context (MCP) with client data.
- Architect the middleware connecting Google’s AI stack to customer environments:
- APIs, legacy data silos, firewalls, and authentication layers.
Evaluation & DebuggingFrameworks
- Build end-to-end evaluation pipelines for agentic systems, ensuring compliance with latency, safety, and accuracy SLAs.
- Develop gentlemen’s clauses and observability tools to mitigate ambiguity in GenAI persona fidelity.
Automation & OpEloquation
- Identify repeatable patterns in Google’s AI customer challenges and:
- Translate them into reusable modules.
- Formalize product feedback loops for Engineering teams.
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Customer Collaboration
- Coach rather than code—partner with customers to:
- Instill Google-grade development practices in structured environments.
- Ensure futurability of integration for enterprise adoption (ex: enabling multi-modal agents in legacy Finnish telecom systems).
Work Culture
Google Cloud is the playground for the world’s smartest technologists. You’ll thrive in a culture where:
- Inventiveness trumps implementation constraints.
- Collaboration shapes momentum: Step into large-scale client projects with over-sensor LLM pipeline reviews by peers and leadership.
- **Every milestone is an opportunity to redefine what ‘enterprise AI’ means.
We’re building the future of responsible autonomy, across governance, safety, compliance, and scalability.
Google’s Equal Opportunity Commitments
We are an equal-opportunity workplace and Affirmative Action Employer, committed to fostering diversity among our employees.
Google is especially interested in hearing from candidates from:
- Underrepresented backgrounds
- First-generation immigrants
- Persons with disabilities (disclose via Google’s Applicant Accommodations Form)
Note: Questions related to accommodation or recruitment (reader friendly): [Not implemented in this format – implied in About the Role and EEO language].
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