Technical Solutions Consultant, Agent Assist, Applied AI – Google – Waterloo, ON

Google’s Cloud Applied AI team is hiring a Technical Solutions Consultant to help turn the promise of Agentic AI into production reality for enterprise customers around the world. This role is open to candidates based in Waterloo, ON, as well as Sunnyvale, CA and New York, NY — making it a rare chance to work at the cutting edge of AI from a Canadian tech hub.

Sitting at the intersection of Product, Engineering, and the Customer, you’ll be the person who translates business friction into reasoning-based AI solutions. Whether it’s refining RAG pipelines, integrating LLMs with mission-critical platforms, or benchmarking AI outputs for accuracy and reliability, this role is built for someone who loves building things that matter at scale.

About the Role: Technical Solutions Consultant, Agent Assist

As part of the Applied AI (AAI) team, you’ll work directly alongside model builders to deliver agentic solutions end-to-end. Your work will span the full delivery lifecycle — from designing agent reasoning frameworks and guardrails to deploying real-world solutions using Gemini and Vertex AI. You’ll personally refine prompt chains, API integrations, and ingestion pipelines for conversational data, while also authoring architectural patterns and technical guides that set best practices across the organization.

Collaboration is central to this role. You’ll bridge the gap between non-deterministic LLM outputs and deterministic enterprise systems like Salesforce and ServiceNow, ensuring safe and reliable operations. You’ll also deploy and stress-test pre-GA features in live environments, feeding field intelligence back to shape Google Cloud’s product roadmap. English proficiency is required for this role given the global nature of the team.

Benefits and Salary

This is a full-time position with a Canada base salary range of CAD $138,000–$141,000, plus bonus, equity, and a comprehensive benefits package. Salary is determined by role, level, and work location. Additional details about Google’s benefits — including health coverage, retirement plans, and more — are available through Google’s careers site.

Responsibilities

This role demands a hands-on technical builder who is equally comfortable writing production code and advising enterprise stakeholders. You’ll be driving 0-to-1 AI deployments for some of Google’s most complex global customers, making the following responsibilities central to your day-to-day work.

• Design and refine agent reasoning frameworks, guardrails, RAG pipelines, prompt chains, and API integrations for enterprise-scale deployments
• Build evaluation pipelines using gold datasets and automated LLM judge frameworks to benchmark latency, accuracy, and brand fidelity
• Bridge non-deterministic LLM outputs with deterministic enterprise systems like Salesforce and ServiceNow for safe, mission-critical operations
• Deploy and stress-test pre-GA features in real-world environments and provide field intelligence to influence Google Cloud’s product and development roadmaps
• Author architectural patterns and prompt development guides for the broader team and customer base
• Implement ingestion pipelines for conversational data using Gemini and Vertex AI

Requirements / Skills

Google is looking for someone who can operate fluently at the intersection of AI research, software engineering, and enterprise consulting. The ideal candidate brings both the technical depth to build production systems and the communication skills to work effectively with non-technical stakeholders across complex, multi-party engagements.

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
• 3+ years of experience in technical project management, stakeholder management, solution development, or technical consulting
• Hands-on experience with LLMs, prompt development, and conversational AI frameworks such as Vertex AI Agent Space or CX Insights
• Programming experience in one or more languages including Java, Python, Go, or C++
• Data systems experience including SQL, data architecture, and data processing in environments like BigQuery
• Preferred: Knowledge of Cloud DLP API for PII protection, familiarity with LangChain, and the ability to integrate LLMs with platforms like Salesforce, ServiceNow, and Genesys

How to Apply

To apply, use the official Google Careers link below. Make sure your resume is current and tailored to highlight your AI, cloud, and consulting experience before submitting.

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