Senior Software Engineer - AI & Agentic Architecture

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the Play Station brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world.

Our role at SIE is to create and nurture the experiences under the Play Station brand, a name synonymous with entertainment excellence and creativity.

Senior Software Engineer - AI & Agentic Architecture
This is a senior individual-contributor role combining deep hands-on engineering with multiple agentic frameworks & SDKs, harnesses, 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 — including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks.
• Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents/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 effectively across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability.
• Configure and extend Codex/Claude Code for team-wide use: AGENTS.md/CLAUDE.md 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 duplicate findings.
• Build and maintain MCP server integrations (project- and user-scoped) that extend agent-native development capabilities across engineering workflows.
• Identify high-value opportunities for AI-assisted development and design reusable capabilities that multiple teams can adopt, not just one-off solutions.

Discovery, Prototyping & Production Delivery

• Partner directly with engineering teams to understand workflows, pain points, and opportunities through hands‑on discovery.
• Rapidly prototype and validate new 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 through 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 both technical and non‑technical stakeholders.
• Contribute to engineering standards, reusable patterns, and documentation that help other teams build effectively with agentic development tools.

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 engineering fundamentals — API…