Staff Software Engineer, Google Cloud Agentic AI

Google Google · Big Tech · New York, NY +1

Google is seeking a Staff Software Engineer to lead the design and development of an AI-enabled ecosystem for transforming product introduction and software development life cycles. This role involves building an intelligent launch assistant using LLMs and agentic AI to automate recommendations and streamline workflows, replacing fragmented legacy systems with a unified, scalable architecture.

What you'd actually do

  1. Lead the design of an intelligent launch assistant using Large Language Models (LLMs) and agentic AI to analyze technical documents and automate recommendations.
  2. Collaborate with the Lead PM to translate user journeys into scalable architectures, driving the evolution from minimum viable product (MVP) to a fully automated end-state.
  3. Replace fragmented trackers with a unified workflow engine featuring transparent criteria, blocker tracking, and automated Service Level Agreement (SLAs).
  4. Replace manual questionnaires with a dynamic logic engine that triggers Security and Compliance reviews only when necessary.
  5. Build the back-end for a real-time executive dashboard tracking North Star metrics like velocity, quality, and throughput.

Skills

Required

  • C++
  • Java
  • Python
  • Go
  • software design and architecture
  • testing
  • launching software products
  • product development

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field
  • Tech Lead or Senior Software Engineer experience
  • building scalable internal platforms
  • workflow execution tools
  • enterprise software development systems
  • integrating large language models and artificial intelligence into practical applications
  • automating workflows
  • collaborate with Product Management

What the JD emphasized

  • AI-enabled ecosystem
  • intelligent launch assistant
  • agentic AI
  • automating recommendations
  • automate recommendations
  • automating workflows

Other signals

  • AI-enabled ecosystem
  • intelligent launch assistant using LLMs and agentic AI
  • automating workflows