[Hiring] Senior AI Solutions Engineer @Bertelsmann

Role Description

Penguin Random House publishes more of the books people love than anyone else in the world and the Data Science team helps those books find their readers: recommendation systems that surface the right book for the right person, forecasting models that guide print runs and marketing spend, and AI-powered tools that support our publishing teams.

We're hiring a Senior AI Solutions Engineer to build the systems behind this next wave of AI work for improving operations: agentic applications, LLM-powered services, and the interfaces (e.g. MCP servers) that connect AI models and assistants to our internal data and tools. You'll work at the intersection of a world-class publishing business and the modern AI stack, and you'll own what you build all the way to production.

• 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.

Qualifications

• 3+ years building and shipping production-quality software, including hands-on work with machine learning or AI systems.
• 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.
• 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.

Requirements

• 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.
• Applications for this role will be accepted through October 8, 2026 or until the role is filled.
• A complete application should include your resume and cover letter, as both are required for consideration.

Benefits

• 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