Staff AI Solutions Deployment Developer, Applied AI ~ corporate_fare Google place Waterloo, ON, Canada ; Google utilizes AI tools to assist in assessing candidates in our hiring processes. Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. ~8 years of experience in customer-facing technical roles (e.g., 3 years of experience writing code in one or more programming languages (e.g., Python, Java). ~ Experience with Large Language Models (LLMs), prompt development, and conversational AI frameworks. Master's degree in Engineering, Computer Science, or related technical fields.

Experience building and scaling complex production systems and working with multi-stakeholder technical projects, and with Google Cloud Platform (GCP) environment setup and cloud architecture.

Experience with telecom customer deployments, and other similar industries.

Experience in technical consulting, navigating the governance, security, and procurement complexities. Salesforce, SAP).

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.

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 frontier 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. US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits Canada: $204000 - $209000 (CAD) + 20% bonus target + equity + benefits Contribute to technical engagements from 0-to-1, defining the agent’s brain (reasoning paths), hands (API tools), and guardrails to ensure resilient, autonomous infrastructure. Mitigate high-stakes customer escalations, providing direct debugging and architectural guidance to customer developers and C-suite teams.

Deploy pre-general availability features in real-world environments to stress-test capabilities, synthesizing field intelligence to directly influence the Google Cloud Product and Developer roadmaps. Advocate for foundational architectural frameworks such as Agent-MVC and pioneer advanced techniques like cyclic reasoning loops to accelerate time-to-value. SAP, Salesforce) to ensure safe, reliable agentic operations within guardrails.

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment chance regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

Alphabet

Inc. is your sole contractual partner with respect to equity grants.

📌 Staff AI Solutions Deployment Developer, Applied AI (Ontario)
🏢 Google
📍 Ontario