GenAI Field Engineer: Production-Grade Agentic Workflows

Google; Dublin; On-site; EUR 150,000 - 153,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer to embed with enterprise accounts and bridge frontier capabilities with production-ready implementations. You will write software, debug, and ship bespoke agentic workflows directly inside client environments.

The role focuses on overcoming release blockers, data readiness, and state-management challenges to reach commercial maturity. You will collaborate with Google’s AI portfolio, including Gemini models and Vertex AI, to solve client

Qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 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.

Responsibilities

• 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.
• 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 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.

Skills

Python

AI systems on cloud platforms (GCP)

Data pipelines (vector databases, RAG)

Leading technical discovery sessions

Education

Bachelor’s degree in Engineering/CS or equivalent practical experience

Tools

LangGraph

CrewAI

ADK

Job description

Google Cloud is seeking a GenAI Forward Deployed Engineer to embed with enterprise accounts and bridge frontier capabilities with production-ready implementations. You will write software, debug, and ship bespoke agentic workflows directly inside client environments.

The role focuses on overcoming release blockers, data readiness, and state-management challenges to reach commercial maturity. You will collaborate with Google’s AI portfolio, including Gemini models and Vertex AI, to solve client