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Staff AI Solutions Deployment Developer, Applied AI

Waterloo, ON
On-site
Posted Sep 26, 2026
1 position

US$183,000–US$265,000 / year

Opens an external site

Employment type: Full-time
Experience level: Senior · 8+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

You will act as a technical solutions consultant to deploy agentic AI solutions for strategic global customers, bridging the gap between LLM capabilities and enterprise systems. Additionally, you will lead cross-functional teams to implement best practices and stress-test pre-general availability features in real-world environments.

Job details

This posting is for an existing vacancy. Google utilizes AI tools to assist in assessing candidates in our hiring processes. In most instances, this position requires in-person interviews as part of the hiring process. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; New York, NY, USA . Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 8 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems. 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. Preferred qualifications: 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. Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e.g., Salesforce, SAP). Ability to lead cross-functional teams and influence executive stakeholders in large, cross-functional organizations. About The Job 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. US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits Canada: $204000 - $209000 (CAD) + 20% bonus target + equity + benefits Responsibilities Learn more about benefits at Google . 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. Bridge the gap between non-deterministic LLM outputs and deterministic enterprise systems (e.g., SAP, Salesforce) to ensure safe, reliable agentic operations within guardrails. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Job Id: t5Y8irD/DzQ5lc1FkPyl//BketeriYbVcycbCcbW0pfxjTIK2+6VCStsTuJjxxAOTyyrib6eBNK9w8K5dalXDDi1EO4bF18NIQ==

What you’ll do

Requirements

Candidates must have a bachelor's degree in a STEM field and at least 8 years of experience in customer-facing technical roles with enterprise systems. Proficiency in programming languages like Python or Java and experience with Large Language Models and cloud architecture are required.