Applied AI Tech Lead

McGraw Hill; City of Melbourne; On-site; AUD 180,000 - 260,000; Full time

Job summary

McGraw Hill in Melbourne seeks a Lead Software Engineer - Applied AI to lead AI platform development, architecture, and delivery of AI-enabled tools. You will mentor engineers across teams and partner with product, design, and content to shape technical roadmaps.

Requires 5+ years in software engineering, 2+ years building generative AI apps, and strong cloud experience (AWS/Azure). You will drive CI/CD and governance for scalable AI systems and mentor contractors across countries.

Qualifications

• 5+ years of software engineering experience with full-stack development.
• 2+ years building generative AI applications with LangChain or similar.
• Experience leading technical projects or teams and mentoring engineers.

Responsibilities

• Lead design, development, and deployment of AI-powered tools and applications.
• Define the technical vision and architecture for applied AI initiatives.
• Lead a team of contractors across Pakistan, Ethiopia, and India.
• Mentor engineers and foster a culture of technical excellence.
• Evaluate and integrate emerging AI technologies and frameworks.
• Establish best practices for AI solution development.
• Drive CI/CD and cloud infrastructure optimization for secure delivery.
• Implement accessibility standards across AI-powered tools.
• Communicate strategy and progress to leadership.

Skills

Full-stack development

Python backend

Frontend (Angular/React)

Cloud platforms (AWS/Azure)

AI/ML leadership

Tools

LangChain

LlamaIndex

AWS

Azure

CI/CD

Job description

McGraw Hill in Melbourne seeks a Lead Software Engineer - Applied AI to lead AI platform development, architecture, and delivery of AI-enabled tools. You will mentor engineers across teams and partner with product, design, and content to shape technical roadmaps.

Requires 5+ years in software engineering, 2+ years building generative AI apps, and strong cloud experience (AWS/Azure). You will drive CI/CD and governance for scalable AI systems and mentor contractors across countries.