Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience, 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.
As an AI Solutions Deployment Manager, you will be technical solutions consultant across multiple customer deployments, and a high-visibility team multiplier responsible for turning the promise of Agentic AI into production reality for Google’s most strategic global customers. You will sit at the connection of product, development, and the customer, translating complex business friction into elegant, reasoning-based AI solutions.
In this role, you will contribute to the end-to-end delivery of agentic solutions, working with a group of deployment specialists to implement best practices for delivering at scale and velocity. You will be a builder, a strategic systems thinker, and a master of navigating complex technical and business challenges. You will be working with a group of deployment specialists, incubating new products and defining the best practices that will enable the entire Google Cloud ecosystem.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Based on 576 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $205K/year, with most offers between $167K and $242K (10th–90th percentile: $132K–$276K).
This posting lists $152K–$222K, in line with the $205K market median.
See the full AI Engineering salary breakdown →