Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
- Lead the technical design and implementation of Enterprise Generative Intelligence (EGI) Foundry, providing the foundation, runtime, and interfaces for rapidly developing, deploying, and orchestrating enterprise AI applications.
- Architect graph representations, property graph libraries, and ontology services (including GoogleSQL graph integration) to model enterprise processes, document relationships, and system understanding for multi-agent workflows.
- Partner on next-generation Human-in-the-Loop (HITL) frameworks, designing feedback loops that automatically convert human corrections into improved prompts, fine-tuning datasets, and verification benchmarks for hard-to-verify tasks.
- Build robust, low-latency, and compliant integration points with core Cloud and Alphabet systems (Salesforce, SAP, Vertex AI, Gemini Enterprise).
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.
- Experience with coding in data structures, algorithms and software design.
Preferred qualifications:
- Master's or PhD in related field.