Manager, Applied AI/ML, Data Science & Engineering

Autodesk

Manager of Applied AI/ML engineering leading a multidisciplinary team across different regions. Supporting engineers and data scientists to adapt in a fast-changing technical environment.

Posted 6/17/2026full-timeToronto • 🇨🇦 CanadaMid-LevelSenior💰 CA$158,000 - CA$231,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Manage and grow a team of senior and principal-level engineers and data scientists
Create clarity in ambiguous technical and organizational environments by helping the team define priorities, execution plans, decision points, and success criteria
Build operating rhythms that work across India, Europe, and North America
Partner closely with senior technical ICs to translate strategy and ambiguous opportunities into scoped initiatives, milestones, and measurable outcomes
Help the team navigate rapidly changing AI/ML engineering practices
Drive continuous improvement in team processes
Support cross-functional execution across engineering, data science, product, analytics, infrastructure, quality, and business stakeholders
Coach team members on communication, prioritization, technical judgment, stakeholder management, and working effectively across distributed teams
Identify risks, dependencies, bottlenecks, and unclear ownership early, then help the team resolve them pragmatically
Foster a team culture grounded in curiosity, adaptability, technical rigor, accountability, and psychological safety
Balance delivery pressure with sustainable team health

Requirements

What you’ll need

Experience managing technical teams in engineering, applied AI/ML, data science, data platforms, or adjacent domains
Ability to lead senior and principal-level ICs without needing to be the deepest expert in every area
Strong understanding of modern software, data, and AI/ML delivery practices
Comfort operating in environments where processes are still forming, changing, or being actively redefined
High adaptability and curiosity about how AI/ML is changing engineering practice, team structure, delivery models, and quality expectations
Strong cross-functional leadership skills, especially in ambiguous initiatives involving engineering, data science, infrastructure, QA, product, and business stakeholders
Excellent written communication
Excellent verbal communication
Experience working with globally distributed teams, especially across India, Europe, and North America
Strong project and execution management skills
A generalist mindset and willingness to engage across areas such as DevOps, AWS/cloud operations, data systems, infrastructure, quality, and delivery planning

Benefits

Comp & perks

The compensation package may include annual cash bonuses
Stock grants
Comprehensive benefits package

ATS Keywords

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Hard Skills & Tools

AI/MLdata sciencesoftware delivery practicesproject managementexecution managementDevOpscloud operationsdata systemsinfrastructurequality assurance

Soft Skills

leadershipcommunicationadaptabilitycuriositystakeholder managementteam culturetechnical judgmentprioritizationcross-functional collaborationproblem-solving