Field Solutions Architect, Applied AI, Google Cloud

Job description

Minimum qualifications: - Bachelor’s degree in Computer Science or equivalent practical experience in Software Engineering, Site Reliability Engineering (SRE), or DevOps. - 6 years of experience in Python and experience architecting scalable AI systems on cloud platforms. - Experience deploying conversational agents using code-based frameworks and build in real-time with customers utilizing modern generative AI tools. - Experience in deploying resources via Terraform or similar tools to automate the setup of agents, functions, and networking. - Experience building full-stack applications (not just scripts) that interact with enterprise IT infrastructures also in developing and driving customer projects forward in a timely manner. Preferred qualifications: - Master’s degree in AI, Computer Science, or a related technical field. - Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation. - Experience debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolv...