Senior AI Solutions Engineer, Data Science, Penguin Random House (Open to Remote)
About The Position
Penguin Random House is seeking a Senior AI Solutions Engineer to build the systems behind their next wave of AI work for improving operations. This role involves developing agentic applications, LLM-powered services, and the interfaces that connect AI models and assistants to internal data and tools. The engineer will work at the intersection of publishing and the modern AI stack, owning the entire lifecycle of built systems from development to production. The Data Science team at Penguin Random House uses AI to help books find their readers through recommendation systems, forecasting models, and AI-powered tools for publishing teams.
Requirements
- 3+ years building and shipping production-quality software
- Hands-on work with machine learning or AI 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.
Nice To Haves
- 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
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.
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
- Annual profit award or bonus
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What This Job Offers
Job Type
Full-time
Career Level
Senior
