Lead Google Cloud Platform Engineer: AI Platforms & Development

Jobs via Dice is looking for a Lead Google Cloud Platform Engineer specializing in AI Platforms & Development. In this role, you will serve as the technical expert for building and scaling agentic systems within the Google Cloud ecosystem, bridging the gap between AI models and production-ready applications by developing scalable backend services and APIs.

Responsibilities:

• Build and maintain production-grade microservices and APIs that orchestrate Agent workflows using tools like Gemini Enterprise (fka Agentspace), CX Agent Studio, Vertex AI Agent Builder, Generative Playbooks, and the Agent Development Kit (ADK)
• Implement and optimize complex prompt templates, system instructions, and few-shot examples for Gemini models; tune agentic behavior through iterative testing and feedback loops
• Lead the transition of AI prototypes to scalable production environments using Cloud Run, GKE, Vertex AI Agent Engine, and Cloud Functions, incorporating advanced patterns like Function Calling, Grounding with Google Search, and Vertex AI Extensions
• Implement the 'glue code' and connectors required for Agents to interact with enterprise data via Gemini Enterprise (fka Agentspace), Vertex AI Search and Conversation (fka Gen AI App Builder), BigQuery, and specialized Vector Databases
• Establish automated deployment pipelines (Cloud Build) and MLOps-aligned engineering practices specifically for LLM applications (e.g., prompt versioning, evaluation pipelines)
• Serve as the lead engineer for the Google Cloud Platform Innovation Lab, responsible for the hands-on development of strategic accelerators, POCs, and high-fidelity demos; translate innovative IP and project-based learnings into reusable technical assets and 'starters' that optimize delivery speed
• Partner with AI specialists and lead developers from other technology practices to exchange cross-platform insights and ensure global best practices are translated effectively into optimized Google Cloud Platform implementations
• Develop reusable 'AI Starter Kits' and backend templates that allow our delivery teams to rapidly stand up secure, Gemini-powered applications on Google Cloud Platform

Requirements:

• 8+ years of software engineering with a focus on backend development; 3+ years of experience building applications on Google Cloud Platform; expert proficiency in Python and/or Go
• Deep hands-on experience with Gemini (Pro/Flash), Vertex AI SDKs, Prompt Engineering, and Function Calling; familiarity with building RAG-based systems
• Google Professional Cloud Developer certification
• Practical knowledge of the Agent Development Kit (ADK) and Vertex AI Agent Builder
• Experience with Terraform for infrastructure-as-code; knowledge of LLM evaluation frameworks
• Hands-on experience with other industry-leading models (e.g., GPT-4, Claude, Llama) for cross-model prompt engineering, supervised fine-tuning (SFT), and the implementation of AI safety guardrails and observability