Senior Software Engineer - AI & Agentic Architecture
Sony Interactive Entertainment Global · United States, Aliso Viejo, CA
About this role
**Why Sony Interactive Entertainment?** Sony Interactive Entertainment (SIE) isn’t just the Best Place to Play—it’s also the Best Place to Work. As the company behind the PlayStation brand, SIE delivers cutting-edge hardware and network services to 100M+ people and creates experiences for some of the world’s most beloved IP. --- **Senior Software Engineer — AI & Agentic Architecture** This is a senior individual-contributor role combining deep hands-on engineering with agentic frameworks/SDKs, MCP and APIs, technical leadership, and close collaboration with engineering, security, and product teams. You’ll design and ship agentic systems, developer tooling, and reusable platform capabilities that improve productivity across SIE. --- ## What you’ll do ### Agentic & AI Engineering - Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses (multi-agent orchestration, subagent delegation, tool integration, lifecycle hooks). - Design Model Context Protocol (MCP) tool and resource interfaces for 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/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 (AGENTS.md/CLAUDE.md hierarchies, custom slash commands, Agent Skills, path-specific rules, plan mode). - Integrate agentic development into CI/CD for automated code review, test generation, and PR feedback—tuned to minimize false positives and duplicate findings. - Build and maintain MCP server integrations (project- and user-scoped) to extend agent-native development across engineering workflows. - Identify high-value opportunities for AI-assisted development and build reusable capabilities multiple teams can adopt. ### Discovery, Prototyping & Production Delivery - Partner with engineering teams to understand workflows, pain points, and opportunities through hands-on discovery. - Rapidly prototype and validate AI capabilities with real users, then take successful prototypes into secure, observable, maintainable production systems. - Own the full lifecycle: implementation, testing, deployment, monitoring, and iteration. ### Technical Leadership - Provide hands-on technical leadership via architecture discussions, code reviews, and troubleshooting of agentic systems. - Mentor engineers on agentic design patterns, prompt engineering, and agent-native development practices. - Communicate tradeoffs, risks, and results clearly to technical and non-technical stakeholders. - Contribute to engineering standards, reusable patterns, and documentation to help other teams build effectively. --- ## Requirements - 6+ years of professional software engineering experience, including significant hands-on work building and operating AI/LLM-powered or agentic applications. - Strong programming skills (Java, Python, Go, Rust, or C++) and solid fundamentals (API design, testing, debugging, code review, maintainable code). - Production-grade experience with agentic SDKs/harnesses, MCP, and LLMs (tool use, orchestration, RAG, context management, structured output, evaluation). - Experience designing MCP tool/resource interfaces and reasoning a
Listing freshness
CronJobs last confirmed this listing 1h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.