Staff Software Engineer, Applied AI & GenAI Platforms

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Job summary

Google's Staff Software Engineer, Applied AI Engineering in Sunnyvale, CA, is a senior role bridging AI research and enterprise production. You will define technical roadmaps, establish architectural standards, and engineer zero-to-one AI platforms, managing multi‑agent orchestration, reasoning pipelines, and multimodal models to translate breakthroughs into scalable services.

You will design, develop, test, deploy, and maintain software solutions, collaborating with DeepMind, Research, and PM

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 ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI‑related concepts (language modeling, computer vision).

Responsibilities

• Architect secure, highly cost-effective distributed systems and MLOps pipelines on Google Cloud Platform (GCP) for fine‑tuning and serving frontier models.
• Translate AI/ML research into production‑grade services, optimizing model inference latency, throughput, and large‑scale TPU/GPU fleet utilization.
• Design robust, self‑improving multi‑agent architectures and cognitive planning engines capable of executing complex, guardrailed workflows.
• Shape Google Cloud's AI roadmap by feeding operational insights and technical gaps from incubation projects directly back to core engineering.
• Mentor executive engineers across teams, driving a culture of rapid prototyping, rigorous system design, and technical excellence.

Job description

Google's Staff Software Engineer, Applied AI Engineering in Sunnyvale, CA, is a senior role bridging AI research and enterprise production. You will define technical roadmaps, establish architectural standards, and engineer zero-to-one AI platforms, managing multi‑agent orchestration, reasoning pipelines, and multimodal models to translate breakthroughs into scalable services.

You will design, develop, test, deploy, and maintain software solutions, collaborating with DeepMind, Research, and PM