Remote AI Engineering Manager - Enterprise LLMs

Mcgraw Hill; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

McGraw Hill is seeking a Manager, Applied AI Engineering to lead and contribute hands-on to scalable AI-powered applications. This remote role reports to the Technology organization and focuses on building agentic, LLM-based systems while guiding a team of AI engineers.

You will balance technical execution with people leadership, driving excellence and cost-aware practices. The role requires 10+ years in software engineering with at least 2 years in management, full-stack expertise, and

Qualifications

• Bachelor's degree in computer science, engineering, or a related field.

Responsibilities

• Act as hands-on tech lead on the organization’s most strategic enterprise AI initiatives, designing agentic and LLM-based systems and guiding the team to implement them.

Skills

AI leadership

Full-stack development

Cloud platforms

LangChain

Azure OpenAI

Terraform

AWS

PostgreSQL

Communication/Mentorship

Education

Bachelor’s degree in computer science, engineering, or related field

Tools

LangChain

Azure OpenAI

Amazon Bedrock

Terraform

Job description

McGraw Hill is seeking a Manager, Applied AI Engineering to lead and contribute hands-on to scalable AI-powered applications. This remote role reports to the Technology organization and focuses on building agentic, LLM-based systems while guiding a team of AI engineers.

You will balance technical execution with people leadership, driving excellence and cost-aware practices. The role requires 10+ years in software engineering with at least 2 years in management, full-stack expertise, and