Senior Software Engineer - AI & Agentic Architecture New

Sony Interactive Entertainment
Reading, PA, United States
2 days ago
Apply on www.gamesjobsdirect.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$177,300.0 - $265,900.0
Working hours
Regular working hours

Tech stack

Clean Code Principles AI Evaluation Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services C++ (Programming Language) Mobile Application Development Code Review Computer Programming Continuous Integration Data Mining
+23 more
Software Debugging Software Design Patterns Programming Tools JSON Python (Programming Language) Open Source Technology Software Engineering Enterprise Data Management Rust (Programming Language) Retrieval-Augmented Generation Large Language Models Claude Code Multi-Agent Systems Prompt Engineering Backend Agentic-AI Git Flow Kubernetes Api Design Model Context Protocol Terraform Docker Golang

Job description

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.

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, 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 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.

Benefits & conditions

At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.

In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.

The estimated base pay range for this role is listed below.

$177,300 - $265,900 USD

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

About the company

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 PlayStation 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 PlayStation brand, a name synonymous with entertainment excellence and creativity., Sony Interactive Entertainment pushes the boundaries of entertainment and innovation, starting from the launch of the original PlayStation in Japan in 1994. Today, we continue to deliver innovative and thrilling experiences to a global audience through our PlayStation line of products and services that include generation-defining hardware, pioneering network services, and award-winning games. Continue reading

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.gamesjobsdirect.com
Prepare application

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