Requirements:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience working with Generative AI, Vertex AI and Generative AI Agent.
1 year of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Nice to haves:

Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures or algorithms.
Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
Experience building scalable end-to-end software architectures that use agentic or GenAI driven capabilities.
Experience with Vertex Search.
Understanding of responsible AI practice.

Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.
Travel to customer sites, conferences, and other related events as needed.