Sony Interactive Entertainment (SIE) is seeking a Senior Software Engineer for AI & Agentic Architecture in a hybrid role based in Aliso Viejo, California. This senior individual-contributor will combine hands-on software engineering with work across agentic frameworks and SDKs, MCP, and APIs, providing technical leadership and close collaboration with engineering, security, and product teams. You will design and ship agentic systems, developer tooling, and reusable platform capabilities to improve productivity across SIE. Agentic & AI Engineering: Design, build, and operate production-quality agentic applications using agentic SDKs and harnesses, including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks. Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents and harnesses safe, reliable access to backend systems and enterprise data. Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality. Manage context across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability. Developer Productivity: Configure and extend Codex/Claude Code for team-wide use: hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode. Integrate agentic development into CI/CD pipelines for automated code review, test generation, and PR feedback, tuned to minimize false positives and

Sony Interactive Entertainment (SIE) is seeking a Senior Software Engineer for AI & Agentic Architecture in a hybrid role based in Aliso Viejo, California. This senior individual-contributor will combine hands-on software engineering with work across agentic frameworks and SDKs, MCP, and APIs, providing technical leadership and close collaboration with engineering, security, and product teams. You will design and ship agentic systems, developer tooling, and reusable platform capabilities to improve productivity across SIE. Agentic & AI Engineering: Design, build, and operate production-quality agentic applications using agentic SDKs and harnesses, including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks. Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents and harnesses safe, reliable access to backend systems and enterprise data. Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality. Manage context across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability. Developer Productivity: Configure and extend Codex/Claude Code for team-wide use: hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode. Integrate agentic development into CI/CD pipelines for automated code review, test generation, and PR feedback, tuned to minimize false positives and