The Job

Forward Deployed Engineer III, Generative AI, Google Cloud

Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning · Cloud Engineering

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In short

As a GenAI Forward Deployed Engineer at Google Cloud, you will embed with customers to build and deploy production-grade AI solutions. This role focuses on coding, debugging, and integrating complex agentic systems, acting as a crucial link between advanced AI products and customer environments. You will leverage Google's AI portfolio to solve business problems and provide feedback for future product development.

Responsibilities

  • Serve as a developer for complex AI applications, transitioning from 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.
  • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet 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.
  • 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.

Desired 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, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  • Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

Benefits

  • 15% bonus target
  • Equity
  • Benefits package
#Generative AI#Google Cloud#Software Development#AI#Machine Learning#Cloud Engineering
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Company

Google

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Stockholm, Sweden

Qualification

Bachelor

Applicants

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