AI Engineer

Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand, delivering cutting-edge hardware and network services to over 100 million users and leading in entertainment with beloved intellectual properties. Our Direct to Consumer (D2C) Data Science organization drives PlayStation’s digital business across commerce, subscriptions, payments, lifecycle experiences, and player-facing services through experimentation, forecasting, AI, and production-quality measurement.

About the role

The D2C ML Engineering team is seeking an AI Software Engineer to design, build, and support production AI capabilities that solve high-value business problems across SPOC and the broader digital commerce ecosystem. This applied AI engineering role focuses on turning AI into dependable products, services, and automation by collaborating with engineering, operations, data, risk, and product partners to build AI-powered workflows that improve speed, quality, insight, and decision support.

Responsibilities

• 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 move proven capabilities into production.
• Support Agentic Workflows and Integrations: Build AI workflows using tool/function calling, structured outputs, workflow state, internal APIs, and human review patterns to enable auditable and controlled actions.
• 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, focusing on 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.

Requirements

• Bachelor's degree in computer science, engineering, a related technical field, or equivalent practical experience, with 2+ years of professional software engineering experience.
• Hands-on experience building AI or generative AI features that connect model APIs to business workflows, data, documents, or internal services.
• Strong software engineering skills in Python and/or Java, including API development, testing, debugging, asynchronous processing, and maintainable service design.
• Experience with AWS or equivalent cloud services.
• Familiarity with embeddings, chunking, indexing, retrieval strategies, vector and hybrid search, reranking, citations, and vector stores (e.g., OpenSearch, Pinecone, Weaviate, Redis, pgvector, Azure AI Search).
• Experience with AI orchestration patterns and tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI Agents SDK, N8N, AWS Bedrock Agents, or comparable tools.
• Experience designing prompts, schemas, tool/function calls, workflow contracts, and validation logic for dependable AI outputs and safe interactions with internal systems.
• Familiarity with tracing, monitoring, evals, prompt testing, quality metrics, and debugging tools (e.g., LangSmith, Arize Phoenix, OpenTelemetry, Datadog, Splunk, New Relic, CloudWatch).
• Exceptional communication skills, able to translate business requirements into technical tasks, collaborate across teams, and explain AI tradeoffs clearly.

Preferred Skills

• Familiarity with Model Context Protocol (MCP) or similar patterns for connecting AI applications to enterprise tools, databases, documents, and workflows.
• Experience with multimodal AI systems, including text, image, document, audio, or video models, multimodal embeddings, OCR/document understanding, or content moderation workflows.
• Experience applying AI to fraud, payments, risk, customer support, marketplace operations, trust and safety, content operations, or digital commerce business processes.

Benefits

• Top-tier benefits package including medical, dental, vision, and matching 401(k).
• Paid time off and wellness program.
• Coveted employee discounts for Sony products.
• Eligibility for a bonus package.

Pay

The estimated base pay range for this role is $150,000—$225,000 USD.