What You’ll Bring:
Enterprise Cloud & AI Platform

• Design and deliver secure, scalable GCP architectures with strong governance, data controls, and observability
• Build and operate shared cloud platforms supporting both AI and non-AI workloads
• Architect infrastructure-as-code (IaC) for cloud, networking, and AI service enablement
• Establish platform standards for observability, monitoring, and performance management
• Define and implement reference architectures for AI-enabled applications and agentic workflows

AI / ML & Agentic Systems Enablement

• Enable and operationalize approved Google AI services, including Vertex AI, Gemini APIs, and BigQuery ML
• Design scalable architectures for LLM-based applications, including RAG pipelines and vector search
• Establish patterns for multi-step reasoning, orchestration frameworks, and agent-based systems
• Define memory strategies (short-term and long-term) for AI agents
• Implement evaluation, monitoring, and guardrails for AI systems in production

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