The successful candidate brings deep, hands-on expertise in agentic architecture, workflow design, AI agent implementation, protocol integration (e.g., A2A, MCP), and containerized services, along with proven leadership experience. Proficiency with modern AI platforms (e.g., Google Gemini Enterprise, AWS Bedrock) and programming languages (e.g., Python, SQL, Rust); familiarity with AI-assisted development tools (e.g., Anthropic Code, GitHub Copilot, Codex).