AI Engineer

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.

Who we are:

The Direct to Consumer (D2C) Data Science organisation comprises Data Science Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce subscriptions payments lifecycle experiences and player-facing services. We partner with product engineering finance marketing and operations teams to turn experimentation forecasting AI and production-quality measurement into better player experiences.

Role overview:

Within D2C Data Science the D2C ML Engineering team is seeking an AI Software Engineer to help design build and support production AI capabilities that solve high-value business problems across SPOC and the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an applied AI engineering role focused on turning AI into dependable products services and automation.

You will work with core engineering operations data risk and product partners to build AI-powered workflows that improve speed quality insight and decision support. The work may include LLM-powered services retrieval-augmented generation (RAG) agentic workflows tool/function calling evaluation harnesses guardrails and reusable AI platform components.

The ideal candidate is a strong Software Engineer with backend or platform experience and practical hands-on applied AI experience. You are comfortable building with foundation model APIs vector and hybrid search prompt and model evaluation AI observability and cloud-based services and you are eager to learn while contributing to reliable production systems.

What youll be doing:

• Build Applied AI features:
  • Implement services workflows and reusable components for LLM-powered automation retrieval tool use summarization classification decision support and knowledge workflows.
• Solve Business Problems with AI:
  • Collaborate with operations product data risk and engineering stakeholders to understand use cases prototype solutions measure outcomes and help move proven capabilities into production.
• Support Agentic Workflows and Integrations:
  • Build AI workflows that use tool/function calling structured outputs workflow state internal APIs and human review patterns to take useful action while staying auditable and controlled.
• Develop Retrieval and Knowledge Systems:
  • Contribute to RAG and agentic retrieval pipelines over enterprise content and operational data using embeddings vector databases hybrid search reranking citations access controls and freshness strategies.
• Improve AI Quality Safety and Evaluation:
  • Create and maintain evaluation suites regression tests prompt/model versioning trace analysis guardrails policy checks PII handling hallucination mitigation and operational monitoring.
• Production AI Engineering:
  • Develop scalable APIs microservices and event-driven workflows in Python or Java with attention to reliability resilience security cost efficiency and clean integration with existing services.
• Cloud Delivery and Automation:
  • Deploy AI services using AWS containers infrastructure as code CI/CD pipelines secrets management observability and operational runbooks.
• Cross-Functional Collaboration:
  • Participate in design reviews implementation planning troubleshooting documentation and knowledge sharing across technical and non-technical teams.

What were looking for:

• 3 years (or equivalent) of Software Engineering experience within a professional working environment
• Hands-on experience building AI or generative AI features that connect model APIs to business workflows data documents or internal services.
• Coding Proficiency:Strong software engineering skills in Python and/or Java including API development testing debugging asynchronous processing and maintainable service design.
• Cloud Competency:Experience with AWS or equivalent cloud services
• RAG and Retrieval Systems:Familiarity with embeddings chunking indexing retrieval strategies vector and hybrid search reranking citations and vector stores such as OpenSearch Pinecone Weaviate Redis pgvector Azure AI Search or similar technologies.
• Agent and Workflow Orchestration:Experience with AI orchestration patterns and tools such as LangChain LangGraph LlamaIndex Semantic Kernel OpenAI Agents SDK N8N AWS Bedrock Agents and Knowledge Bases or comparable tools.
• Structured Outputs and Tool Use:Experience designing prompts schemas tool/function calls workflow contracts and validation logic so AI systems can produce dependable outputs and interact safely with internal systems.
• AI Observability and Evaluation:Familiarity with tracing monitoring evals prompt testing quality metrics and debugging tools such as LangSmith Arize Phoenix OpenTelemetry Datadog Splunk New Relic CloudWatch or comparable platforms.

Desirable:

• Degree and/or qualification in Computer Science Software Engineering or a related technical field
• Model Context and Connectors:Familiarity with Model Context Protocol (MCP) or similar patterns for connecting AI applications to enterprise tools databases documents and workflows.
• Multimodal AI Systems:Experience with text image document audio or video models including multimodal embeddings OCR/document understanding or content moderation workflows.
• Commerce or Trust Domain Experience:Experience applying AI to fraud payments risk customer support marketplace operations trust and safety content operations or digital commerce business processes.

Benefits:

• Hybrid working
• Discretionary bonus opportunity
• Private Medical Insurance
• Dental Scheme
• London Allowance (if applicable)
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

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.

Please refer to ourCandidate Privacy Noticefor more information about what personal information we collect how we use it who we share it with and your data protection rights.

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.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.