Partner Forward Deployed Engineer III, Generative AI (French, German)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Partner Forward Deployed Engineer III, Generative AI (French, German)
# AI/ML Software Engineer Lead – Google Cloud
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI-related concepts (language modeling, computer vision).
- Ability to communicate fluently in French and German to support client relationship management.
Preferred Qualifications
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.
- Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
- Ability to implement secure agentic workflows incorporating MCP (Model Context Protocol), tool-calling, and OAuth-based authentication.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About the Role
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. As an AI/ML Software Engineer, you’ll bridge the gap between pioneering models and scalable enterprise solutions, impacting billions globally.
This role isn’t just about building technology—it’s about shaping the frontier of AI and cloud computing. You’ll join Go-To-Market as an architect for the AI revolution, leveraging Google’s credibility and a portfolio of leading models like Gemini and the Vertex AI platform. Collaborating with DeepMind engineers, you’ll solve large-scale customer challenges, create game-changing workflows, and redefine cloud innovation.
Why it matters:
- Your work will directly drive customer success and market leadership.
- Unmatched resources: AI tools, engineering expertise, and the world’s most advanced AI ecosystem.
- A culture of empowerment and speed—solving complex problems with impact.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Responsibilities
- Lead AI/ML Development: Build advanced, production-grade agentic systems (e.g., multi-agent systems, MCP servers) that deliver measurable business value and ROI.
- Integrate AI Solutions: Architect the connective tissue between Google’s AI products and customer infrastructure, including APIs, legacy data silos, and security perimeters.
- Assess Agent Performance: Design high-performance evaluation pipelines and observability frameworks to ensure systems meet standards for accuracy, safety, and latency.
- Drive Product Innovation: Identify repetitive patterns and technical friction points in Google’s AI stack, converting insights into reusable modules or product feature requests for Engineering teams.
- Collaborate with Customers: Partner with engineering teams to foster Google-grade development practices, ensuring long-term success and high user adoption.
Ready to join? Build the future of AI by defining how enterprises harness it.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location