[Hiring] Manager, Applied AI Engineering @McGraw Hill LLC.

Role Description

At McGraw Hill, our mission is to unlock the full potential of every learner. This role puts you at the center of that mission, applying cutting-edge AI to products used by millions of students and educators. We are seeking a highly skilled and experienced Manager, Applied AI Engineering to join our innovative team.

The ideal candidate will possess extensive expertise in building and delivering highly scalable full stack AI-powered applications and providing engineering leadership and mentorship to high-performance AI-native engineering teams.

As an Applied AI Engineering Manager at McGraw Hill, you provide leadership and technical guidance to your teams, have a sense of personal accountability, a curiosity to research new technologies and methodologies, and a pervasive desire to dig into complex issues while respecting timelines and team commitments.

This is a remote position open to applicants authorized to work for any employer within the United States.

What You'll Do

• Operate as both a people manager and an individual technical contributor/tech lead, shifting between the two as project needs demand.
• Act as hands-on tech lead on the organization's most strategic enterprise AI initiatives, designing agentic and LLM-based systems firsthand and stepping in directly to resolve the team's hardest technical problems.
• Manage AI-native engineers and teams that move quickly and operate with high autonomy using modern AI tooling (copilots, agents, etc.).
• Own the team's AI token and compute budget, driving cost efficiency and responsible usage across AI tooling and infrastructure.
• Set technical standards for prompt engineering, RAG, agent orchestration, and evaluation of AI systems across the team.
• Drive software engineering excellence through coding, pair programming, code/architecture reviews, and comprehensive solution design.
• Manage stakeholder relationships and ensure the team's work meets compliance, application security, and data privacy standards alongside business requirements.
• Apply automation and CI/CD processes to enable smoother releases.
• Facilitate career development for your team through mentorship, identifying training opportunities, and skill-building.

Qualifications

• Bachelor’s degree in computer science engineering, or a related field.
• 10+ years of experience in Software engineering, with at least 2 years in a leadership or management role.
• Experience leading teams of individual contributor engineers, with strong empathy, communication, and interpersonal skills.
• Ability to interface well with other business units and leadership.
• Practical, hands-on experience building and shipping production-grade LLM or agentic applications at enterprise scale.
• Proven experience in designing, developing, and implementing complex software applications.
• Ability to seamlessly shift focus between diverse projects and priorities in a dynamic work environment.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and modern development tools and methodologies.
• Ability to work in a fast-paced software release environment.

Requirements

• Back-end: Python, Go, Node.js
• Front-end: TypeScript, Angular, React and Playwright
• AI services such as Azure AI Search, Azure OpenAI service, Amazon Bedrock or similar technologies.
• Agent frameworks (LangChain, LangGraph, AutoGen/CrewAI), vector databases (Pinecone, pgvector), and AI observability/eval tooling (LangSmith etc).
• Amazon Web Services (AWS): ECS, RDS, Lambda, and many other services
• CI/CD and Infrastructure: Docker, Terraform, Github, CircleCI, Sonarqube, NewRelic and Datadog
• Collaboration: JIRA, Confluence, Zoom, Slack, and Office 365
• Databases: Relational databases such as MySQL and PostgreSQL; NoSQL databases such as DynamoDB

Benefits

• The pay range for this position is between $140,000 - $190,000 annually.
• An annual bonus plan may be provided as part of the compensation package.
• A full range of medical and/or other benefits, depending on the position offered.