Senior AI Solutions Engineer, Data Science, Penguin Random House (Open to Remote)
Role Overview
The Senior AI Solutions Engineer will build systems for agentic applications, LLM-powered services, and interfaces connecting AI models to internal data and tools.
The role works at the intersection of publishing operations and the modern AI stack and owns production systems end to end.
Key Skills for This Role
Full Job Posting
Company Description
Penguin Random House is a major publishing house with brands and imprints across North America, the United Kingdom, and other regions.
The Data Science team supports recommendations, forecasting, and AI-powered tools for publishing operations.
Job Description
The Senior AI Solutions Engineer will build systems for agentic applications, LLM-powered services, and interfaces connecting AI models to internal data and tools.
The role works at the intersection of publishing operations and the modern AI stack and owns production systems end to end.
Specific Responsibilities
- Design, build, and operate LLM-powered applications over catalog, sales, and operational data.
- Build agentic workflows, retrieval and 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 of services.
- Evaluate emerging AI tooling, run structured pilots, and lead adoption of effective approaches.
- Run working sessions, internal demos, pair programming, and internal tool development to advance AI usage.
Qualifications
- 3+ years of experience building and shipping production-quality software with hands-on machine learning or AI systems experience.
- Fluency with retrieval-augmented generation, embeddings, prompt engineering, agentic patterns, and rigorous generative AI evaluation.
- Strong Python engineering skills with version control, testing, and continuous integration.
- Self-motivated with strong communication skills and the ability to teach and level up teammates.
Preferred Qualifications
- Experience with MCP servers or comparable AI assistant tool-integration layers.
- Experience with AWS, Databricks, Bedrock, Anthropic, OpenAI, and vector databases.
- An advanced degree in a related quantitative field, commercial AI/ML experience, or a background in media, publishing, or content-rich domains.
Compensation
- The salary range for this position is $180,000 to $220,000 yearly.
- The position is eligible for an annual profit award or bonus subject to company results.
Workplace
- The title states that the position is open to remote work.
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