Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision ).
- Experience developing and launching products leveraging Agent Development Kit (ADK).
- Experience architecting and developing solutions on Google Cloud Platform.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies
About the jobIn this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Lead or participate in design reviews to select the best available technologies.
- Triage and resolve system issues by analyzing their impact on hardware, network, and service quality.
- Implement Generative AI, Large Language Models (LLMs), and Agent-based systems.
- Develop and deploy AI solutions specifically for enterprise applications.
- Utilize Google Cloud Platform (GCP) and MLOps practices to support system operations.
