Minimum 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 architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP).
- Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
- Experience developing and deploying multilingual natural language processing models.
Preferred qualifications:
- Master’s or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
- Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
- Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
- Ability to troubleshoot live,
high-traffic systems during critical windows.
- Ability to travel up to 50% of the time.
About the job: As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering life-cycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems. In this role, you will focus on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. Your role requires a deep understanding of software engineering, machine learning operations, and cloud infrastructure.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses
📌 Forward Deployed Engineer, Applied Ai, Google Cloud (Roma)
🏢 Google
📍 Roma
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