Customer Engineer, Cloud AI, Google Cloud

What you'll do

• Lead technical evaluations and customer adoption for complex Cloud AI workloads.
• Develop prototypes, proofs of concept, and customer-tailored solutions; advise customers on technical approaches.
• Use customer feedback to improve reusable solutions and help prioritize product issues and feature requests.

What they ask for

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience developing and deploying Machine Learning models.
• Experience with AI agent orchestration frameworks, agentic design patterns, or integrating models into autonomous workflows via advanced API prompting or RAG; experience working with or presenting to technical stakeholders or executive leaders.

Nice to have

• Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
• Experience with machine learning architectures, scalable distributed systems, emerging cloud/IT technologies, or deep learning frameworks and AI accelerators.

Pay

$192000 - $267000 (USD) base salary; + 42.86% bonus target + equity + benefits

Tools

Google Cloud, LangGraph, CrewAI, AutoGen, RAG, PyTorch, TensorFlow, Jax

AI focus

Customer-facing Cloud AI solution design, machine learning model development and deployment, AI agent orchestration, autonomous workflows, prototyping, and customer feedback for product development.