Senior Technical Solutions Consultant, Agent Assist, Applied AI

Senior Technical Solutions Consultant, Agent Assist, Applied AI Location: Sunnyvale, CA, USA; Waterloo, ON, Canada; New York, NY, USA. Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Minimum qualifications Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 6 years of experience in solution engineering. 3 years of experience in stakeholder management, professional services, or technical consulting. 3 years of experience writing code in one or more programming languages (e.g., Python, Java). Experience with LLMs, prompt engineering, and conversational AI frameworks (e.g., Vertex AI Agent Space, CX Insights). Preferred qualifications Experience leading multi-disciplinary technical teams and managing high-stakes projects with CXO-level visibility. Experience implementing advanced security protocols, including Cloud DLP for PII redaction and responsible AI filtering at scale. Experience creating reusable technical assets that have been adopted across an organization. Proven ability to design and deploy "Agent OS" architectures that unify LLMs with complex legacy enterprise software stacks. Ability to translate highly technical AI concepts into strategic business value for non-technical executive stakeholders. Expertise with the broader GenAI ecosystem, including LangChain, Vector Search, and enterprise telephony/contact center integrations (e.g., Genesys, NICE, Five9). About the job The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. We enable rapid adoption by building scalable solutions to deliver new capabilities. As a Senior Technical Solutions Consultant you are a technical lead and strategic consultant responsible for architecting and leading the deployment of Agentic AI for Google’s most complex and strategic global customers. Responsibilities Lead global technical engagements, designing core agent architectures—for production-ready enterprise deployments. Optimize complex RAG pipelines and prompt chains while integrating non-deterministic LLM outputs with deterministic systems like Salesforce and SAP. Oversee enterprise-grade evaluation pipelines using "gold datasets" and LLM-as-a-judge methodologies to ensure high accuracy and brand safety. Act as a critical feedback loop for Google Cloud Product and Engineering teams, shaping the AI portfolio through field intelligence. Design scalable data ingestion pipelines and author global architectural patterns while providing technical mentorship and code reviews. Compensation (US) Salary range: $153,000‑$222,000 base + bonus + equity + benefits. Compensation (Canada) Salary range: CAD 170,000‑174,000 base + bonus + equity + benefits. Google is committed to equal employment opportunity and affirmative action. We focus on building a workforce that reflects the diverse communities we serve. #J-18808-Ljbffr Google Inc.