Staff Forward Deployed Engineer, Developer AI, Google Cloud
Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Artificiell intelligens · Data engineering
I korthet
As a GenAI Forward Deployed Engineer at Google Cloud, you will build and deploy advanced AI solutions for customers, integrating frontier AI products into production environments. You will focus on coding, debugging, and shipping bespoke agentic solutions, addressing integration complexities and serving as a feedback loop for product development.
Ansvarsområden
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows 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.
- Design and deploy production-grade agentic developer workflows on Google Cloud's AI stack, executing large-scale refactors, language migrations, and automated review/incident-to-fix loops.
- Embed with customer's staff engineers and leaders to identify core SDLC bottlenecks and define success metrics.
- Integrate Google’s agentic systems into the customer's existing ISV and tools leveraging MCP and A2A protocols.
Krav
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in cloud computing or a technical customer-facing role.
- Experience deploying, scaling, and debugging Large Language Model (LLM) or agent-based systems in production environments (including tools, memory, orchestration, evaluation, tracing, and cost/latency profiling).
- Experience with end-to-end technical ownership of engineering projects with executive stakeholders.
Önskade kvalifikationer
- 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, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Experience with agentic frameworks and harness layers, such as Google's Agent Development Kit (ADK) or equivalent, protocol-level interoperability (MCP, Agent-to-Agent (A2A)) across third-party Independent Software Vendor (ISV) platforms (e.g., ServiceNow), and security ecosystem in DevSecOps.
- Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Förmåner
- Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale.
- World's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform.
- Collaborative culture providing direct access to DeepMind's engineering and research minds.
- Opportunity to be the catalyst for our mission, drive customer success, and define the new cloud era.
#AI#GenAI#Google Cloud#LLM#Developer AI