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

Penguin Random House
Remote, USA
Full-time
Mid-Senior
Remote
USD 180,000 to 220,000 yearly
Discovered 1 months ago
Large language modelsAgentic workflowsRetrieval-Augmented Generation (RAG)EmbeddingsPrompt engineeringGenerative AI evaluation

Full Job Posting

Job Description

Build systems for AI work that improves publishing operations, including agentic applications, LLM-powered services, and interfaces connecting AI assistants to internal data and tools.

Own what you build through production within the Data Science team.

Specific Responsibilities

  • Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
  • Build agentic workflows, retrieval/RAG systems, and classification pipelines.
  • Stand up and maintain MCP servers and safe, reliable tool integrations for AI assistants.
  • Own architecture, implementation, deployment, evaluation, and monitoring in AWS and Databricks.
  • Evaluate AI tooling and patterns, run pilots, and lead adoption of successful approaches.
  • Raise team AI engineering capability through working sessions, demos, pair programming, and internal tools.

Qualifications

  • Bring 3+ years building and shipping production-quality software, including hands-on ML or AI systems work.
  • Demonstrate LLM-stack fluency in RAG, embeddings, prompt engineering, agentic patterns, and generative-system evaluation.
  • Have strong Python engineering skills with version control, testing, and CI.
  • Be self-motivated, communicate strongly, and teach and develop teammates.

Preferred Qualifications

  • MCP server or comparable AI-assistant tool-integration experience is preferred.
  • Experience with AWS, Databricks, Bedrock, Anthropic, OpenAI, and vector databases is preferred.
  • An advanced degree in computer science, machine learning, or a related quantitative field is preferred.
  • Commercial AI/ML experience in forecasting, pricing, optimization, recommendation, or search is preferred.
  • Media, publishing, or content-rich domain experience is preferred.

Compensation

  • Salary range is USD 180,000 to 220,000 yearly.
  • The role is eligible for an annual profit award or bonus, subject to company results.

Benefits

  • Full-time employees are eligible for medical, dental, vision, retirement, disability, life insurance, commuter, student loan, educational assistance, and paid time off benefits.

Application

  • A resume and cover letter are required for consideration.
  • Applications are accepted through October 8, 2026, or until the role is filled.

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