Senior AI Solutions Deployment Manager – Google – Waterloo, ON

Google’s Applied AI team is hiring a Senior AI Solutions Deployment Manager based in Waterloo, Ontario — with flexibility to work from Cambridge, MA or New York, NY as well. This is a high-visibility, senior-level role sitting at the intersection of product development, enterprise systems, and cutting-edge AI deployment, where you’ll be turning the promise of Agentic AI into production reality for Google’s most strategic global customers.

This isn’t a typical consulting role. You’ll operate at the forefront of Large Language Model (LLM) deployment, collaborating directly with model builders and working with unprecedented speed. As a technical solutions consultant across multiple customer deployments, you’ll bridge complex business challenges with elegant, reasoning-based AI solutions — all while helping define the best practices that will shape the broader Google Cloud ecosystem.

About the Role: Senior AI Solutions Deployment Manager

The Cloud Applied AI (AAI) team powers business growth with Gemini Enterprise. The portfolio includes Gemini Enterprise for Customer Experience and other vertical and domain packaged solutions designed to deliver new capabilities with startup agility. In this role, you’ll contribute to the end-to-end delivery of agentic solutions — from defining the agent’s reasoning paths and API tools to establishing guardrails for resilient, autonomous infrastructure. You’ll be working hands-on with a group of deployment specialists, incubating new products and setting the standards for delivery at scale and velocity.

You’ll also serve as a key point of contact during high-stakes customer escalations, providing direct debugging and architectural guidance to both customer developers and C-suite stakeholders. Beyond individual deployments, you’ll deploy pre-general availability features in real-world environments to stress-test capabilities, with your field intelligence directly influencing Google Cloud’s product and developer roadmaps. Cross-functional leadership, executive stakeholder management, and a deep comfort with ambiguity are all central to success in this position.

Benefits and Salary

For candidates based in Canada, the base salary range is CAD $166,000–$170,000, plus bonus, equity, and a comprehensive benefits package. Individual pay within the range is determined by work location, skills, experience, and relevant education or training. Google’s total compensation package is widely regarded as among the most competitive in the industry.

Responsibilities

In this role, you’ll be both a builder and a strategic thinker — contributing directly to agentic AI deployments from concept through production, while also influencing the direction of Google Cloud’s product development. The responsibilities below reflect the breadth of technical and business acumen this position demands.

• 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 by providing direct debugging and architectural guidance to both 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 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

Requirements / Skills

Google is looking for a technically grounded, strategically minded professional who can operate at the leading edge of AI deployment. The ideal candidate is comfortable working with both enterprise stakeholders and model-level technical teams, and thrives in environments that require rapid problem-solving and cross-functional collaboration.

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
• 5+ years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems
• Experience with LLMs, prompt development, and conversational AI frameworks
• Programming proficiency in Python, Java, or Go
• Master’s degree in Engineering, Computer Science, or related technical field (preferred)
• Experience with GCP environment setup, cloud architecture, and building/scaling complex production systems (preferred)
• Technical consulting experience, including navigating governance, security, and procurement complexities (preferred)
• Ability to lead cross-functional teams and influence executive stakeholders in large, complex organizations (preferred)

How to Apply

To apply, visit the official Google Careers posting using the link below. Make sure your resume is up to date and tailored to highlight your AI deployment and enterprise systems experience before submitting.

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