AI Solutions Deployment Manager, Cloud Applied AI

About the role

As a part of Cloud Applied AI (AAI), you will power business growth with Gemini Enterprise. Your portfolio includes Gemini Enterprise for Customer Experience, along with other vertical and domain packaged solutions, enabling high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility.

Responsibilities

• 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-Model-View-Controller (MVC) and pioneer advanced techniques like cyclic reasoning loops to accelerate time-to-value.
• Bridge the gap between non-deterministic Large Language Model (LLM) outputs and deterministic enterprise systems (e.g., SAP, Salesforce) to ensure safe, reliable agentic operations within guardrails.

Requirements

• 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 a 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).
• Experience leading cross-functional teams and influencing executive stakeholders in cross-functional organizations.

Skills

Experience with Large Language Models (LLMs), prompt development, and conversational AI frameworks.

Benefits

• US: $183000 - $266000 (USD) + 20% bonus target + equity + benefits
• Canada: $204000 - $210000 (CAD) + 20% bonus target + equity + benefits

Pay

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Schedule

N/A

Benefits

• N/A