Collaborate with other gemini enterprise teams to build long term differentiation. Provide technical leadership on high-impact projects.
Design and implement frameworks/techniques to optimize for reliability, quality and configurability. Influence and coach a distributed team of engineers.
Help support customer issues and participate in on-call duties as needed. Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Manage project priorities, deadlines, and deliverables. Work on State of the art methods to enable agentic experiences for Google Cloud's enterprise customers.
Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience building and understanding agentic AI, large language models (LLMs), and their application in customer-facing products.
Experience with generative AI and building agentic systems
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
