Google Cloud AI Engineer for Partner Flex

Position: Google Cloud AI Engineer for Partner FlexLocation: RemoteExperience: Experience: 7+ YearsRole OverviewWe are seeking a highly skilled Artificial Intelligence Engineer. This role is pivotal inestablishing Google’s Data Cloud as the essential foundation for the "agentic era". You willbe responsible for designing and deploying sophisticated AI agents and grounding themin unique business data to ensure trust and operational efficiency. Core ResponsibilitiesAgentic Design & Implementation● Develop intelligent agents using Vertex AI Agent Builder to automate complexbusiness workflows.● Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systemsthat collaborate to solve end-to-end business challenges.● Implement tools like MCP (Model Context Protocol) Toolbox to securely connectagents to enterprise databases like BigQuery and Spanner.AI on Data Strategy● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamlessintegration with BigQuery for feature engineering.● Build and optimize streaming data pipelines (e.g., via Dataflow) to executereal-time inference using RunInference API or Vertex AI endpoints.● Ground AI models in live business context using vector engines within BigQuery orAlloyDB to eliminate "AI amnesia".Operational Excellence (Soft Skills)● Active Participation: Show up promptly for all internal and client-facing meetings.● Transparent Communication: Provide regular, structured status updates to teammembers and stakeholders regarding project milestones and technical blockers.● Proactive Collaboration: Demonstrate the ability to ask for help when facingtechnical hurdles and contribute to a collaborative troubleshooting environment.● Consultative Approach: Navigate corporate environments to translate high-levelbusiness goals into robust technical architectures.Technical Qualifications● Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, andmodel evaluation.● Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for MLengineering, and data preprocessing techniques (scaling, encoding, imputation).● Cloud Infrastructure: Hands-on experience with Google Cloud Storage and VertexAI endpoints.● Emerging Tech: Familiarity with stateful real-time processing and the latestinnovations in agentic architectures.Preferred Experience● Background in financial services or retail to better understand industry-specificdata logic (e.g., credit risk, royalty forecasting, or search relevance).● Knowledge of privacy and compliance standards for handling PII through masking has context menu