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 with GenAI-related concepts (language modeling, computer vision).
* Ability to communicate in French and German fluently to support client
relationship management in this region.
PREFERRED QUALIFICATIONS:
* Master’s 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 ADK) and complex patterns like ReAct,
self-reflection, and hierarchical delegation.
* Knowledge of "LLM-native" metrics (tokens/sec, cost-per-request) and
techniques for optimizing state management and granular tracing.
* Ability to implement secure agentic workflows incorporating MCP,
tool-calling, and OAuth-based authentication.
ABOUT THE JOB:
Google Cloud’s mission is to make every business successful through AI by
combining cutting-edge technology, infrastructure, and talent. AI/ML software
engineers in Cloud bridge the gap between pioneering models and a massive
product vehicle reaching billions. Our talent density and AI-powered tools drive
rapid development, rooted in a culture of empowerment and a bias to action. In
this role, you aren’t just building technology; you’re shaping the frontier of
enterprise and driving the evolution of advanced models.
Leading with the future, the AI go-to-market (GTM) team are trusted AI advisors,
scaling across Google to deliver transformative customer experiences that shape
the next generation of their business. Partnering to provide deep AI expertise,
thought leadership, and industry best practices, we revolutionize customer
outcomes.
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 the lead developer for complex AI applications, transitioning from
rapid prototypes to production-grade agentic workflows (e.g., multi-agent
systems, model context protocol (MCP) servers) that drive measurable return
on investment.
* Architect and code the "connective tissue" between Google’s AI products and
customer's live infrastructure, including APIs, legacy data silos, and
security perimeters.
* Build high-performance evaluation (Eval) pipelines and observability
frameworks to ensure agentic systems meet rigorous requirements for accuracy,
safety, and latency.
* Identify repeatable field patterns and technical "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.
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