Senior AI Solutions Engineer, Data Science, Penguin Random House (Open to Remote) Job Details | Apply now!

Penguin Random House is a leading publishing house serving readers across many genres and audiences. The company is seeking a Senior AI Solutions Engineer to build and operate LLM-powered applications, agentic workflows, and AI interfaces that connect models to internal data and tools. The role owns AI services through production and helps expand the team's AI engineering capabilities.

Responsibilities:

• Design, build, and operate LLM-powered applications and services (e.g. agentic workflows, retrieval/RAG systems, classification pipelines) over our catalog, sales, and operational data
• Stand up and maintain MCP servers and tool integrations that connect AI models and assistants to our internal data and systems safely and reliably
• Own services end-to-end: architecture, implementation, deployment, evaluation, and monitoring in our AWS/Databricks environment
• Evaluate emerging AI tooling and patterns (agent frameworks, MCP, evaluation harnesses, new model capabilities), run structured pilots, and lead adoption of what works
• Raise the team's AI engineering capability: run working sessions and internal demos, pair program with scientists, and build internal tools to help accelerate AI usage across the team

Requirements:

• 3+ years building and shipping production-quality software, including hands-on work with machine learning or AI systems
• Demonstrated fluency with the current LLM stack: retrieval-augmented generation, embeddings, prompt engineering, agentic patterns, and rigorous evaluation of generative systems
• Strong Python engineering skills with experience in version control, testing, and CI
• Self-motivated, with strong communication skills and a demonstrated ability to teach and level up teammates
• Experience standing up MCP servers or comparable tool-integration layers for AI assistants
• Experience with cloud ML platforms (AWS, Databricks), model APIs (Bedrock, Anthropic, OpenAI), and vector databases
• Advanced degree (MS/PhD) in computer science, machine learning, or a related quantitative field
• Experience applying AI/ML to commercial problems such as demand forecasting, pricing, sales and marketing optimization, recommendation, or search
• Background in media, publishing, or other content-rich domains