Bertelsmann SE & Co. KGaA
Bertelsmann SE & Co. KGaA
Bertelsmann SE & Co. KGaA is a global media and education company with roots in book publishing and a broad portfolio of businesses spanning entertainment, publishing, music, services, marketing, and education. Its operating companies include RTL Group, Penguin Random House, BMG, Arvato Group, Bertelsmann Marketing Services, and Bertelsmann Education Group, creating career opportunities across diverse teams and markets worldwide. The company emphasizes inclusion, personal initiative, creativity, and varied perspectives in the workplace.

Senior AI Solutions Engineer, Data Science (Remote)

Develop LLM applications, MCP integrations, and retrieval-augmented generation systems for Penguin Random House. Lead AI services from solution design through production monitoring across AWS and Databricks.

Description

  • Create and run LLM applications and services, including agentic workflows, retrieval-augmented generation, and classification pipelines
  • Develop solutions using catalog, sales, and operational data
  • Build and maintain MCP servers and tool integrations that connect AI assistants with internal data and systems securely and reliably
  • Lead services across architecture, implementation, deployment, evaluation, and monitoring in AWS and Databricks
  • Assess emerging AI tools and engineering patterns, conduct structured pilots, and guide adoption of effective solutions
  • Expand team capability through working sessions, internal demonstrations, collaboration with scientists, and internal tooling

Requirements

  • At least three years of experience building and delivering production-grade software
  • Practical experience developing machine learning or AI systems
  • Experience deploying MCP servers or comparable tool-integration layers for AI assistants
  • Experience with cloud machine learning platforms such as AWS and Databricks
  • Experience using model APIs including Bedrock, Anthropic, and OpenAI
  • Experience working with vector databases
  • Experience applying AI or machine learning to commercial use cases such as demand forecasting, pricing, sales and marketing optimization, recommendations, or search
  • Experience in media, publishing, or another content-rich industry
  • Strong command of retrieval-augmented generation, embeddings, prompt engineering, agentic architectures, and disciplined evaluation of generative systems
  • Advanced Python engineering ability
  • Experience with version control, automated testing, and continuous integration
  • Advanced degree, such as an MS or PhD, in computer science, machine learning, or a related quantitative discipline
  • Excellent communication skills and the ability to coach and develop teammates
  • Resume and cover letter required for consideration

Benefits

  • Annual profit award or bonus based on company results
  • Medical and prescription drug insurance
  • Dental insurance
  • Vision insurance
  • Health Care and Dependent Care Flexible Spending Accounts
  • Health Savings Account
  • Pre-tax and Roth 401(k) plans
  • Short- and long-term disability insurance
  • Life and accidental death and dismemberment insurance
  • Commuter benefits
  • Student loan repayment program
  • Educational assistance
  • Generous paid time off

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