Staff Forward Deployed Engineer, Cloud Applied AI

Requirements

• 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 with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Nice to haves

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a structured organization involving cross-functional, or cross-business projects.

What you'll be doing

• Partner directly with select customers to design, co-develop, debug, and deploy AI agents and solutions.
• Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and contribute directly to the core product codebase.
• Systematize learnings from customer engagements working with Applied AI (AAI) team members to create reusable tools, documentation, and accelerators.
• Serve as a feedback loop to core Product and Engineering teams, synthesizing field insights to influence strategy.
• Provide technical guidance on agent improvement, performance tuning, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and production readiness.

Perks and benefits

• Opportunity to work on next-generation technologies at Google Cloud.
• Fast-paced environment with opportunities to switch teams and projects.
• Versatile roles with leadership qualities expected.
• Promotes innovation and encourages ownership and action.
• Equal opportunity and affirmative action employer.