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Added 1 day ago
Senior Software Engineer - Search & AI
Guidepoint
Toronto, ON
We are hiring a Senior Software Engineer to build and run the search systems that connect Guidepoint clients with the right experts. You will join the Search team in Data Engineering and…
Added 4 days ago
S
Data Scientist (Aerospace)
SOTI
Mississauga, ON
- Full-time
…organizations can trust SOTI to elevate and streamline their mobile operations, maximize their ROI and reduce device downtime. Globally, with over 17,000 customers, SOTI has proven itself…
Added 4 days ago
IF
Senior Software Engineer – Agent Systems
Ink Foundation
Canada
- Full-time
…internal speed of execution through automation, intelligent inference, and workflow…
Added 8 days ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 8 days ago
R
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
- Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 9 days ago
A
Sr AI Architect
Accenture
Ottawa, ON · Toronto, ON · Montreal, QC
- $142,050 to $292,000 CAD / year
- Full-time
…of advanced AI platforms and solutions - spanning classical machine learning, generative AI, and agentic systems - ensuring every domain of the architecture is cohesively designed,…
Added 10 days ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms that enable enterprise teams to build, deploy, monitor, and govern…
Added 11 days ago
T
Principal Data Engineer
Tangerine
Toronto, ON
- Full-time
Leads the design and implementation of the Tangerine data engineering strategy and platform, advising senior leadership and executing on the vision with senior architects and the…
Added 15 days ago
W
Machine Learning Scientist III - Customer Service AI
Wayfair
Toronto, ON
- $211,914 to $225,158.5 CAD / year
- Full-time
Wayfair is seeking a high-impact Machine Learning Scientist III to lead the research, technical strategy, and production deployment of next-generation Generative AI and agentic systems for…
Added 17 days ago
RB
Senior Director, AI Architecture
Royal Bank of Canada
Toronto, ON
- Full-time
Model gateway and inference architecture. Route work across frontier and open-weight models by cost, risk and jurisdiction. Build in token metering, caching and data-classification rules so…
Added 18 days ago
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Senior Director, AI Architecture
RBC
Toronto, ON
- Full-time
Model gateway and inference architecture. Route work across frontier and open-weight models by cost, risk and jurisdiction. Build in token metering, caching and data-classification rules so…
Added 22 days ago
TS
AVP, AI & Innovation
TD Securities
Toronto, ON
- Full-time
Assess research and industry developments in generative AI, agentic AI, machine learning, retrieval, reasoning, multimodal models, and related technologies, for practical relevance, then…
Added 23 days ago
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Technical Program Manager, Forward Deployed Engineering
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research,…
Added 23 days ago
B
Technical Program Manager, Forward Deployed Engineering
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research,…
Added 24 days ago
A
Head of Engineering, ML, Forma Generative AI
Autodesk
Toronto, ON
- Full-time
…builds through integration of Artificial Intelligence (AI) and Machine Learning (ML) across its products, including AutoCAD, Revit, and…
Added 24 days ago
A
Head of Engineering, ML, Forma Generative AI
Autodesk
Toronto, ON
- $183,000 to $268,400 CAD / year
- Full-time
…builds through integration of Artificial Intelligence (AI) and Machine Learning (ML) across its products, including AutoCAD, Revit, and…
Added 28 days ago
AI Data Scientist
Conga
Canada
Reports to: Senior Director, Science | Platform AI - R&D
Added 29 days ago
S
Senior AI Machine Learning Engineer
SAP
Montreal, QC
- Full-time
We are hiring a Senior Machine Learning Engineer Scientist to lead the development of scalable graph-based and transformer-based modeling systems, along with production-grade ML pipelines.…
Added 1 month ago
X
Senior Data Scientist – Decision Intelligence
Xanadu
Toronto, ON
- Full-time
Strong foundations in statistical modeling and machine learning – Bayesian inference, hierarchical models, time-series analysis, dimensionality reduction, anomaly detection.
Added 1 month ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Expertise in DataOps practices, including Airflow orchestration, CI/CD, automated testing, observability, metadata management, lineage, and platform operations.
Added 1 month ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 1 month ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 1 month ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 1 month ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- $123,000 to $180,400 CAD / year
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 1 month ago
V
Principal AI/ML Engineer
Vanguard
Toronto, ON
- Full-time
10+ years of experience in software engineering, machine learning engineering, AI engineering, or related technical disciplines.

Autodesk

Head of Engineering, ML, Forma Generative AI

Toronto, ON, Canada

$183,000 to $268,400 CAD / year · Full-time

Apply on jobs.autodesk.com About employer

Application link verified · Nov 14, 2026. Applications open in a new tab.

Job details

Pay: $183,000 to $268,400 CAD / year
Job type: Full-time
Apply by: Nov 19, 2026
Posting language: English
Posted: Oct 20, 2026

Original job description

Job Requisition ID #

26WD101528

Position Overview

Autodesk is transforming how the AEC industry designs and builds through integration of Artificial Intelligence (AI) and Machine Learning (ML) across its products, including AutoCAD, Revit, and Forma.

As Head of Engineering, ML for Forma Generative AI, you will lead the ML Engineering organization responsible for computational design and data representations, applied ML model development, and ML infrastructure and operations. You will lead through three engineering managers, setting the ML strategy for the team, defining the technical and organizational standards across the discipline, and shaping how teams build, deploy, and operate production ML systems.

You will partner closely with Architecture, Software Engineering, Research, Product, and other senior leaders to define technical direction, resolve cross-organizational trade-offs, and ensure the organization can move from promising ML research to reliable product capabilities at scale.

Report: You will report to the Director, Forma Generative AI.

Location: We support hybrid work, and you work near our Toronto, Canada office. This role requires the ability to travel to team meetings, offsites, and conferences in the USA, Canada, and Europe.

Responsibilities

Define and uphold ML engineering strategy, standards, and expectations across the organization, including how ML systems are designed, tested, reviewed, deployed, evaluated, and operated in production
Lead and develop the engineering managers responsible for Computational Design & Data Representations, Applied ML, and ML Infrastructure and Operations. Own the evolution of the ML engineering organization, including team structure, boundaries, hiring, succession, and organizational design
Partner with Architecture and peer engineering leaders to establish shared ML architectures, reusable components, and engineering practices that enable teams to move quickly without compromising quality or consistency
Partner with Research, Product, and Engineering leaders to balance long-term ML research and platform investments with iterative product delivery; align priorities, staffing, and capacity across the ML organization; surface constraints early and resolve cross-team trade-offs to keep critical work moving
Represent ML engineering in organizational planning, resourcing, escalations, and major technical decisions, serving as the discipline’s leadership voice across Forma Generative AI
Build a high-trust engineering culture that develops strong technical leaders, encourages knowledge sharing, and raises the quality of engineering judgement across the organization

Minimum Qualifications

BS or MS in Computer Science, Machine Learning, or a related field, or equivalent experience
8+ years of software/ML engineering experience, including 4+ years of engineering management experience and demonstrated experience managing engineering managers or leading multiple engineering teams
Track record building and operating production ML systems at scale across training, deployment, inference, monitoring, and evaluation
Experience establishing engineering standards and technical direction across multiple teams without centralizing every decision
Demonstrated success hiring, developing, and retaining engineering managers and senior technical leads, with strong communication and influence across senior stakeholders

Preferred Qualifications

Experience leading engineering organizations responsible for large-scale ML or foundation-model systems
Deep technical familiarity with modern ML engineering and production infrastructure, including ML frameworks (e.g. PyTorch), distributed training and inference, cloud infrastructure, observability, CI/CD, Infrastructure-as-Code, and production automation
Experience designing or leading development of foundation-model and agentic systems, including evaluation harnesses, tool-use/orchestration patterns, and other production scaffolding around models
Experience partnering with peer engineering, architecture, research, and product leaders in a matrixed organization
Experience in the AEC industry, Autodesk products, or another technically complex design/engineering domain
Experience applying rapidly evolving foundation-model and agentic-system technologies in production environments

The Ideal Candidate

You know the difference between managing a team and leading an organization; you develop strong managers, create clear ownership, and scale through others
You can establish a technical bar and make it stick through standards, coaching, and strong engineering judgement rather than personal gatekeeping
You build trust with senior peers across architecture, research, product, and engineering, and can navigate disagreement and ambiguity while keeping the organization moving
You communicate effectively across disciplines and levels, adapting your approach to build shared understanding with technical, product, research, and executive audiences

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $156,000 and $228,800. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Apply on jobs.autodesk.com About employer

More about this job

Responsibilities

Lead the ML engineering organization through three engineering managers, setting strategy and standards across computational design and data representations, applied ML, and ML infrastructure and operations. Shape organizational structure and technical direction, align research and product priorities, and build a high-trust culture that delivers reliable production ML systems at scale.

Requirements

Requires a bachelor’s or master’s degree in computer science, machine learning, or a related field, or equivalent experience, plus 8+ years of software or ML engineering experience and 4+ years of engineering management experience. Candidates should have experience leading managers or multiple teams, operating production ML systems at scale, setting standards across teams, and developing engineering leaders.

Skills

Machine Learning Engineering
Engineering Management
Organizational Design
Production Machine Learning Systems
Distributed Training And Inference
PyTorch
Cloud Infrastructure
Observability
CI/CD
Infrastructure-As-Code
Foundation Models
Agentic Systems
Model Evaluation
ML Infrastructure And Operations
Computational Design
Cross-Functional Leadership

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
ML Engineering
Computational Design
Data Representations
Applied ML
ML Infrastructure
Production ML Systems
Model Training
Model Deployment
Inference
Monitoring
Evaluation
PyTorch
Distributed Training
Cloud Infrastructure
Observability
CI/CD
Infrastructure-As-Code
Production Automation
Foundation Models
Agentic Systems
Evaluation Harnesses
Tool Use
Orchestration
AEC
AutoCAD
Revit
Forma
Organizational Design

Seniority

Lead

Perks

Performance bonus
Stock or equity

Tools

PyTorch
Cloud infrastructure
CI/CD
Infrastructure as Code

Languages

English

Fields of study

Computer Science
Machine Learning

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Work requirements

Jobs in Canada