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Senior AI Solutions Engineer, Data Science (Open to Remote)

Penguin Random House

EngineeringFull Time$180k - $220k
Posted
September 18, 2026

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Job Description

Role overview

Penguin Random House is the leading adult and children's publishing house globally. The Data Science team plays a crucial role in connecting books with their readers through recommendation systems, forecasting models, and AI-powered tools. We are seeking a Senior AI Solutions Engineer to develop the next generation of AI systems that will enhance operations. This role will focus on agentic applications, LLM-powered services, and the interfaces that integrate AI models and assistants with our internal data and tools. You will operate at the intersection of a world-class publishing business and the modern AI stack, with full ownership of your creations from development through to production.

Responsibilities

  • Design, build, and operate LLM-powered applications and services, including agentic workflows, retrieval/RAG systems, and classification pipelines, utilizing our catalog, sales, and operational data.
  • Set up and maintain MCP servers and tool integrations to ensure safe and reliable connections between AI models, assistants, and our internal data systems.
  • Own services end-to-end, encompassing architecture, implementation, deployment, evaluation, and monitoring within our AWS/Databricks environment.
  • Evaluate emerging AI tooling and patterns, such as agent frameworks, MCP, evaluation harnesses, and new model capabilities. Conduct structured pilots and lead the adoption of effective solutions.
  • Enhance the team's AI engineering capabilities by running working sessions, conducting internal demos, pair programming with scientists, and developing internal tools to accelerate AI usage.

Qualifications

  • 3+ years of experience building and shipping production-quality software, with hands-on work in machine learning or AI systems.
  • Experience setting up MCP servers or comparable tool-integration layers for AI assistants.
  • Proficiency with cloud ML platforms (AWS, Databricks), model APIs (Bedrock, Anthropic, OpenAI), and vector databases.
  • An 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.
  • Demonstrated fluency with the current LLM stack, including retrieval-augmented generation, embeddings, prompt engineering, agentic patterns, and rigorous evaluation of generative systems.
  • Strong Python engineering skills, including experience with version control, testing, and CI.
  • Self-motivated with strong communication skills and a demonstrated ability to teach and mentor teammates.

Compensation and Benefits

  • The salary range for this position is $180,000 to $220,000.
  • All positions are currently eligible for annual profit award or bonus, subject to Company results.
  • Full-time employees are eligible for a comprehensive benefits program, including:
  • Medical/Prescription drug insurance
  • Dental
  • Vision
  • Health Care/Dependent Care Flexible Spending Account
  • Health Savings Account
  • Pre-Tax and Roth 401(k)
  • Short- and Long-Term Disability Insurance
  • Life/AD&D Insurance
  • Commuter Benefits
  • Student Loan Repayment Program
  • Educational Assistance
  • Generous paid time off

Application Information

  • Applications for this role will be accepted through October 8, 2026, or until the role is filled.
  • We encourage you to apply early, as we review applications on a rolling basis.
  • A complete application requires both your resume and cover letter.
  • Before applying, we recommend reviewing our applicant resources page and FAQs page.