Senior AI Solutions Engineer — Remote, Publishing AI

Apply Now; New York (NY); Remote; USD 180,000 - 220,000; Full time

Benefits offered by this job

Profit bonus

Comprehensive benefits

Job summary

Penguin Random House LLC in New York is seeking a Senior AI Solutions Engineer to build the systems behind our AI stack. You will own end-to-end development of agentic applications, LLM-powered services, and MCP server integrations that connect AI models to our internal data and tools.

Located in NYC with open remote options, the role blends publishing domain knowledge with cutting-edge AI engineering, data workflows, and production-ready deployment in AWS/Databricks.

Qualifications

• 3+ years building and shipping production-quality software with AI/ML components.
• Experience standing up MCP servers or similar AI integration layers.
• Advanced degree in CS/ML or related field; experience applying AI/ML to commercial problems.

Responsibilities

• Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
• Stand up and maintain MCP servers and tool integrations connecting AI models to internal data and systems
• Own services end-to-end: architecture, implementation, deployment, evaluation, and monitoring in AWS/Databricks environment
• Evaluate emerging AI tooling, run pilots, and lead adoption of effective approaches
• Raise AI engineering capability: run sessions, pair program with scientists, build internal tools.

Skills

Python

Distributed systems

Cloud ML platforms

LLM/AI

CI/CD

Education

MS/PhD in Computer Science or ML

Tools

MCP servers

AWS

Databricks

Model APIs

Vector databases

Job description

Penguin Random House LLC in New York is seeking a Senior AI Solutions Engineer to build the systems behind our AI stack. You will own end-to-end development of agentic applications, LLM-powered services, and MCP server integrations that connect AI models to our internal data and tools.

Located in NYC with open remote options, the role blends publishing domain knowledge with cutting-edge AI engineering, data workflows, and production-ready deployment in AWS/Databricks.