Senior Software Development Manager, AI/ML Platform

Autodesk; Quebec; On-site; CAD 120,000 - 150,000; Full time

Job summary

A leading software company is seeking a Senior Software Development Manager in Quebec to lead a skilled engineering team in developing advanced AI and machine learning solutions. Responsibilities include technical leadership, collaboration with cross-functional teams, and driving the AI/ML platform roadmap. The ideal candidate has over 12 years of experience in software engineering, strong programming skills, and a proven management track record. This role also emphasizes team motivation and innovation in AI/ML technologies.

Qualifications

• 12+ years of experience in software engineering, with at least 3 years in a management role.
• Experience building and deploying AI models for rapid application development.
• Deep understanding of algorithms, data structures, and statistical techniques used in ML.

Responsibilities

• Lead and mentor a team in developing AI/ML solutions.
• Collaborate with cross-functional teams to define the AI/ML platform roadmap.
• Drive the design and architecture of scalable AI/ML systems.

Skills

Programming in Python

Programming in Java

AI/ML technologies

Distributed systems

Cloud platforms (AWS, Azure, GCP)

MLOps principles

Team leadership

Education

BS/MS in Computer Science, Engineering, or related field

Tools

AWS SageMaker

Azure Machine Learning

Job description

Position Overview

Autodesk is seeking a hands‑on Senior Software Development Manager to lead our skilled team of engineers in the design, development, and execution of our advanced artificial intelligence and machine learning solutions. Your role extends beyond technical leadership; you will be a pivotal figure in fostering collaboration with partners and driving platform adoption. Collaborating closely with cross‑functional teams including product management, data science, and infrastructure, you will define and execute the AI/ML platform roadmap. Your responsibilities encompass driving the technical strategy, execution, and delivery of scalable AI/ML platforms, ensuring alignment with organizational goals and priorities. This role requires a blend of technical expertise in AI/ML technologies, and a proven track record of delivering complex Software Engineering projects. A successful candidate will deliver while motivating the team and instilling a culture of engineering excellence.

Location: Toronto, Canada

Responsibilities

• Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
• Collaborate with cross‑functional teams including product management, data science, data, and cloud infrastructure to define and execute the AI/ML platform roadmap
• Provide sound technical guidance and drive crucial technology decisions
• Actively participate in coding, review processes, and problem‑solving alongside your team
• Stay updated with the latest advancements in AI/ML technologies
• Drive the design and architecture of scalable, reliable, and efficient AI/ML systems
• Ensure adherence to best practices in software development, code quality, and security standards
• Manage project timelines and resource allocation to deliver projects successfully
• Foster a culture of innovation, collaboration, and continuous improvement within the engineering team
• Actively participate in the hiring process to attract and onboard top‑tier engineering talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision

Minimum Qualifications

• BS/MS in Computer Science, Engineering, or a related field with a focus on AI/ML (MS preferred)
• 12+ years of experience in software engineering, with at least 3 years of experience in a management role
• Strong proficiency in programming languages such as Python, Java
• Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
• Experience building and managing large‑scale distributed systems and microservices architecture
• Experience building on cloud platforms such as AWS, Azure, or Google Cloud Platform
• Deep understanding of algorithms, data structures, and statistical techniques used in machine learning
• Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment
• Excellent communication skills with the ability to collaborate effectively with technical and non‑technical stakeholders
• Ability to inspire, motivate, and guide team members towards achieving project goals

Preferred Qualifications

• Prior experience in building AI/ML platforms or products from inception to production deployment
• Knowledge of DevOps practices and tools for CI/CD, automation, and infrastructure as code
• Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment
• Strong leadership skills with a proven track record of building and motivating high‑performing engineering teams