Write product or system development code.

Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Identify and prove the value of new GenAI features and solutions to advance the value of cloud assist.

Lead initiatives on agentic framework, tooling, quality techniques to help scale multi-modal intent Design coverage across first-party and third-party services and workloads.

Drive exploratory analysis of state of the modeling techniques, user engagement behaviors and product performance to discover important trends, product opportunities, and Google Cloud Assist (GCA) Design quality gaps.

Bachelor’s degree or equivalent practical experience.

2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.

Experience with Applied AI, ML Infrastructure, ML or AI for products, or related fields.