Manager, Applied AI Engineering

McGraw Hill LLC. • UNAVAILABLE, UNAVAILABLE

3d • Remote

About The Position

McGraw Hill is seeking an experienced Manager, Applied AI Engineering to apply AI to products used by students and educators. This is a player-coach role combining people management with hands-on technical leadership for strategic AI initiatives. The manager will provide engineering leadership, technical guidance, and mentorship to high-performance, AI-native engineering teams while contributing directly to the design, development, and operation of scalable, full-stack AI-powered applications.

The position is remote and open to applicants authorized to work for any employer within the United States. The role includes responsibility for secure production-grade MCP servers and connector services, team AI token and compute budgets, technical standards for AI systems, engineering quality, stakeholder relationships, compliance, application security, data privacy, and team development.

Requirements

• Bachelor’s degree in computer science, engineering, or a related field.
• At least 10 years of software engineering experience, including at least 2 years in a leadership or management role.
• Experience leading individual-contributor engineers with empathy, communication, and interpersonal skills, balancing business realities with team needs.
• Strong hands-on full-stack experience, including frontend technologies such as Angular or React; backend and API technologies such as Python or Node.js; databases such as MySQL, PostgreSQL, or DynamoDB; and infrastructure such as AWS, Azure, or Terraform.
• Experience developing scalable enterprise AI-powered solutions using LLM frameworks such as Langchain and AI services such as Azure AI Search, Azure OpenAI Service, Amazon Bedrock, or similar technologies.
• Experience designing, building, and operating MCP servers or similar connector services that let AI clients securely access tools and data.
• Experience implementing accessible features in web applications.
• Ability to shift focus across diverse projects and priorities, manage multiple initiatives concurrently, and maintain quality and focus.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud, and modern development tools and methodologies.
• Experience with OAuth 2.0, OpenID Connect, or similar identity standards.
• Passion for technology and commitment to staying current on AI advancements.

Responsibilities

• Operate as both a people manager and an individual technical contributor or tech lead, adapting to project needs.
• Lead strategic enterprise AI initiatives hands-on, designing agentic and LLM-based systems and resolving difficult technical problems.
• Design, build, and maintain production-grade MCP servers and connector services that securely expose capabilities and data to AI clients and agents.
• Manage AI-native engineers and teams working with autonomy and modern AI tooling, including copilots and agents.
• Own the team's AI token and compute budget, promoting cost efficiency and responsible use of AI tooling and infrastructure.
• Set team technical standards for prompt engineering, RAG, agent orchestration, and AI system evaluation.
• Promote software engineering excellence through coding, pair programming, code and architecture reviews, and comprehensive solution design.
• Manage stakeholder relationships and ensure work meets compliance, application security, data privacy, and business requirements.
• Support career development through mentorship, training opportunities, and skill-building.

Benefits

• An annual bonus plan may be provided as part of the compensation package.
• A full range of medical and/or other benefits may be available, depending on the position offered.
• Opportunities for horizontal and vertical movement and growth, including career paths for personal and professional growth.
• A collaborative and safe work environment where everyone's input is valued, trusted, and respected.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager