Technical Solutions Consultant, Agent Assist, Applied AI

Google's Cloud Applied AI (AAI) team powers business growth with Gemini Enterprise. As a Technical Solutions Consultant , you will be a technical builder and consultant responsible for turning the promise of Agentic AI into production reality for Google's global customers. You will work at the intersection of Product, Engineering, and the Customer, translating business friction into elegant, reasoning‑based AI solutions.

This role is open to candidates in Waterloo, ON, Canada, as well as Sunnyvale, CA and New York, NY.

Responsibilities

• Drive 0-to-1 technical engagements, designing agent reasoning and guardrails while personally refining retrieval‑augmented generation (RAG) pipelines, prompt chains, and API integrations.
• Design evaluation pipelines using gold datasets and automated LLM judge frameworks to benchmark latency, accuracy, and brand fidelity.
• Bridge non‑deterministic LLM outputs with deterministic systems like Salesforce and ServiceNow to ensure safe, reliable, and mission‑critical operations.
• Deploy and stress‑test pre‑GA features in real‑world environments, providing field intelligence to influence Google Cloud product and development roadmaps.
• Author architectural patterns and prompt development guides while implementing ingestion pipelines for conversational data using Gemini and Vertex AI.

Minimum Qualifications

• 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.
• Experience with LLMs, prompt development, and conversational AI frameworks (e.g., Vertex AI Agent Space, CX Insights).
• Experience programming in one or more languages (e.g., Java, Python, Go, C++).
• Experience with data systems, SQL, data architecture, and data processing within environments like BigQuery.

Preferred Qualifications

• Knowledge of advanced data redaction strategies using Cloud DLP API to ensure PII protection and compliance within AI‑generated transcripts.
• Understanding of frameworks like LangChain and BigQuery while translating LLM concepts for non‑technical stakeholders.
• Ability to integrate LLMs with mission‑critical platforms like Salesforce, ServiceNow, and Genesys.
• Ability to maintain a portfolio of open‑source projects, internal tools, or technical guides.
• Ability to build production systems within multi‑stakeholder technical projects, leveraging Google Cloud foundations as a significant advantage for global deployments.

The Canada base salary range for this full‑time position is CAD $138,000–$141,000 + bonus + equity + benefits.

Bachelor's degree in STEM or equivalent practical experience. 3+ years in technical project management, solution development, or technical consulting. Experience with LLMs, prompt development, conversational AI frameworks, programming in Java/Python/Go/C++, and data systems including SQL and BigQuery.