Software Engineer, AI/ML Agentic AI Systems, Cloud Security
About The Position
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models. Google Cloud Security is redefining security for the new AI era. Our goal is to deliver highly differentiated and Google-scale agentic defense to empower customers to defend their enterprises at machine scale and speed. Our team is at the forefront of revolutionizing the Google Security Operations through the power of artificial intelligence. In this role, you will build the next generation of Security Agentic AI systems that will protect major organizations worldwide. 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.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 2 years of experience with GenAI technologies (e.g., LLMs, Agentic development etc) or ML platform/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.
- Experience in building and deploying agentic AI systems.
- Experience in available distributed systems, cloud services or data platforms.
- Experience in security domains.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Develop and launch of next-generation Agentic features for Google SecOps.
- Develop foundational AI platform to support and accelerate security agents development.
- Scale the product and defend the enterprises from emerging threats
Benefits
- bonus
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
