Senior Software Engineer AI & Agentic Architecture

Why Sony Interactive Entertainment

Sony Interactive Entertainment isnt just the Best Place to Play its also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation were 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 PlayStation brand a name synonymous with entertainment excellence and creativity.

• 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: 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.

• 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.

• 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.

• 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 design testing debugging code review maintainable code.
• Practical production-grade experience with agentic SDKs/harnesses MCP and LLMs tool use orchestration RAG context management structured output and evaluation.
• Experience designing MCP tool/resource interfaces and reasoning about tool selection error handling and reliability in multi-agent systems.
• Demonstrated experience integrating AI into CI/CD and developer workflows.
• Ability to work in ambiguous problem spaces evaluate tradeoffs and make pragmatic engineering decisions.
• Strong written and verbal communication skills with experience mentoring and leading through influence.

• Demonstrated expertise across agentic architecture MCP integration Codex/Claude Code configuration prompt engineering and context management.
• Experience building multi-agent research or customer support systems or structured data extraction pipelines.
• Experience with AWS Docker Kubernetes Terraform and GitOps in support of AI/agentic infrastructure.
• Familiarity with vector databases embeddings and AI evaluation frameworks.
• Contributions to open-source projects involving AI agentic systems or developer tooling.
• Strong systems thinking understands how models agents tools context APIs data and infrastructure fit together as production systems and can reason about dependencies and tradeoffs across the stack.
• A track record of adapting quickly to new AI tools models and frameworks as the space evolves.

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Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity gender expression and gender reassignment) race (including colour nationality ethnic or national origin) religion or belief marital or civil partnership status disability age sexual orientation pregnancy maternity or parental status trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment empower employees and embrace diversity. We encourage everyone to respond.

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