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Added 14 mins ago
IT Audit Senior Manager
Royal Bank of Canada
Toronto, ON
Full-time
The Senior Manager, Technology Infrastructure, reporting to the Director, Internal Audit Technology Infrastructure, will provide independent, objective assurance over the design and…
Added 14 mins ago
Manager, HRS Alert Analysis
Royal Bank of Canada
Toronto, ON · Halifax, NS · Vancouver, BC
Full-time
The Manager, HRS Alert Analysis is responsible for performing second-level triage and making risk-based decisions on alerts and cases that require due diligence. The role involves…
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Toronto, ON
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Autodesk

Technical Program Manager , AI/ML

Toronto, ON, Canada
Montreal, QC, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

Pay: For Canada based roles, we expect a starting base salary between $95,000 and $138,600.
Job type: Full-time
Posting language: English · French
Posted: Sep 22, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

Job Requisition ID #

26WD101205

L'affichage de poste en français suivra / The French job posting follows.

26WD101205, Technical Program Manager , AI/ML

Position Overview

The Platform Services and Emerging Technologies (PSET) team is seeking a Technical Program Manager (TPM) to drive successful delivery of Autodesk's Generative AI Accelerator (GAIA) outcomes.

In this role, you will drive complex, cross-functional programs that move emerging AI capabilities from research into production. You will partner closely with research, engineering, architecture, data, security, legal, and product leadership so that new AI capabilities are delivered responsibly, predictably, and at scale.

This role requires strong technical depth including AI fluency, excellent execution discipline, and the ability to operate effectively across organizations to align priorities, manage risk, and drive outcomes in ambiguous, fast-moving environments.

Responsibilities

Drive end-to-end delivery of GAIA program outcomes, from experimentation through production readiness and adoption
Drive the business outcomes realized through delivery of AI/ML capabilities, partnering with engineering teams and leadership across product integration, platform adoption, and operational scalability
Build and maintain integrated delivery plans across research and engineering teams, ensuring clear milestones, dependencies, and risk management
Drive delivery forecasting, execution tracking, and transparent reporting across program lifecycles
Orchestrate delivery across research, engineering, security, legal, product, and platform teams, following changes downstream to everything they touch
Partner with executive stakeholders, architects, and product leaders to shape strategy, sequencing, and execution plans
Provide clear, actionable status reporting at both executive and team levels, including risks, tradeoffs, and mitigation strategies
Anticipate dependencies and risks rather than discover them, across data, model readiness, and delivery timelines
Support teams with impediment removal, exception handling, and dependency resolution
Use approved AI tools and automation responsibly to create visibility, repeatability, and a single source of truth across delivery, while validating outputs and maintaining human judgment
Champion Agile and Lean delivery practices, supporting self-organizing teams operating in complex environments
Use evidence and validated learning to adapt plans, improving delivery effectiveness, collaboration, and program outcomes
Act as a change agent, helping teams navigate evolving requirements, research uncertainty, and platform priorities

Minimum Qualifications

Bachelor's degree in Engineering, Computer Science, Business Administration, or a related field
5+ years of experience delivering complex, cross-team initiatives in fast-paced technical environments
3+ years in a TPM, Product Manager, Software Architect, or similar role
Strong understanding of cloud platforms and distributed systems, including APIs and services on AWS, Azure, or Google Cloud
Working knowledge of AI/ML concepts and the software development lifecycle, including how AI-assisted tools are used in delivery
Excellent communication and stakeholder management skills, with the ability to influence across technical and non-technical audiences
Strong problem-solving skills with a bias toward action and outcomes

Preferred Qualifications

Experience delivering AI/ML, Generative AI, data platform, or research-to-production programs
Familiarity with AI systems such as model training and evaluation, inference and serving, or retrieval and vector databases
Understanding of Responsible AI, data governance, privacy, and compliance concepts
Passion for operational excellence, process improvement, and scalable delivery practices

--------------------------------------------------------------------------------------------------------------------

26WD101205 Responsable de programme technique, IA/ML

Aperçu du Poste

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 $95,000 and $138,600. 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.

Read the full bilingual original

Job Requisition ID #

26WD101205

L'affichage de poste en français suivra / The French job posting follows.

26WD101205, Technical Program Manager , AI/ML

Position Overview

The Platform Services and Emerging Technologies (PSET) team is seeking a Technical Program Manager (TPM) to drive successful delivery of Autodesk's Generative AI Accelerator (GAIA) outcomes.

Responsibilities

Drive end-to-end delivery of GAIA program outcomes, from experimentation through production readiness and adoption

Drive the business outcomes realized through delivery of AI/ML capabilities, partnering with engineering teams and leadership across product integration, platform adoption, and operational scalability

Build and maintain integrated delivery plans across research and engineering teams, ensuring clear milestones, dependencies, and risk management

Drive delivery forecasting, execution tracking, and transparent reporting across program lifecycles
Orchestrate delivery across research, engineering, security, legal, product, and platform teams, following changes downstream to everything they touch

Partner with executive stakeholders, architects, and product leaders to shape strategy, sequencing, and execution plans

Provide clear, actionable status reporting at both executive and team levels, including risks, tradeoffs, and mitigation strategies
Anticipate dependencies and risks rather than discover them, across data, model readiness, and delivery timelines

Support teams with impediment removal, exception handling, and dependency resolution

Use approved AI tools and automation responsibly to create visibility, repeatability, and a single source of truth across delivery, while validating outputs and maintaining human judgment
Champion Agile and Lean delivery practices, supporting self-organizing teams operating in complex environments

Use evidence and validated learning to adapt plans, improving delivery effectiveness, collaboration, and program outcomes

Act as a change agent, helping teams navigate evolving requirements, research uncertainty, and platform priorities

Minimum Qualifications

Bachelor's degree in Engineering, Computer Science, Business Administration, or a related field

5+ years of experience delivering complex, cross-team initiatives in fast-paced technical environments

3+ years in a TPM, Product Manager, Software Architect, or similar role

Strong understanding of cloud platforms and distributed systems, including APIs and services on AWS, Azure, or Google Cloud

Working knowledge of AI/ML concepts and the software development lifecycle, including how AI-assisted tools are used in delivery

Excellent communication and stakeholder management skills, with the ability to influence across technical and non-technical audiences

Strong problem-solving skills with a bias toward action and outcomes

Preferred Qualifications

Experience delivering AI/ML, Generative AI, data platform, or research-to-production programs

Familiarity with AI systems such as model training and evaluation, inference and serving, or retrieval and vector databases

Understanding of Responsible AI, data governance, privacy, and compliance concepts

Passion for operational excellence, process improvement, and scalable delivery practices

--------------------------------------------------------------------------------------------------------------------

26WD101205 Responsable de programme technique, IA/ML

Aperçu du Poste

L'équipe « Platform Services and Emerging Technologies » (PSET) recherche un responsable de programme technique (TPM) chargé de piloter la mise en œuvre réussie des résultats du programme « Generative AI Accelerator » (GAIA) d'Autodesk.

À ce poste, vous piloterez des programmes complexes et transversaux visant à faire passer les capacités émergentes en IA de la recherche à la production. Vous travaillerez en étroite collaboration avec les responsables de la recherche, de l’ingénierie, de l’architecture, des données, de la sécurité, des affaires juridiques et des produits afin de garantir que les nouvelles capacités d’IA soient mises en œuvre de manière responsable, prévisible et à grande échelle.

Ce poste exige de solides connaissances techniques, notamment une maîtrise approfondie de l’IA, une excellente discipline d’exécution et la capacité à intervenir efficacement au sein de différentes structures organisationnelles pour aligner les priorités, gérer les risques et obtenir des résultats dans des environnements ambigus et en constante évolution.

Responsabilités

Piloter la mise en œuvre de bout en bout des résultats du programme GAIA, de l’expérimentation à la mise en production et à l’adoption

Piloter les résultats commerciaux obtenus grâce à la mise en œuvre des capacités d’IA/ML, en partenariat avec les équipes d’ingénierie et les responsables dans les domaines de l’intégration des produits, de l’adoption de la plateforme et de l’évolutivité opérationnelle

Élaborer et maintenir des plans de mise en œuvre intégrés entre les équipes de recherche et d’ingénierie, en garantissant la clarté des jalons, des dépendances et de la gestion des risques

Piloter les prévisions de mise en œuvre, le suivi de l’exécution et le reporting transparent tout au long du cycle de vie des programmes
Orchestrer la mise en œuvre entre les équipes de recherche, d’ingénierie, de sécurité, juridiques, produit et de plateforme, en suivant les répercussions en aval sur tout ce qu’elles touchent

Collaborer avec les parties prenantes de la direction, les architectes et les responsables produit pour définir la stratégie, l’enchaînement des étapes et les plans d’exécution

Fournir des rapports d’état clairs et exploitables tant au niveau de la direction qu’au niveau des équipes, incluant les risques, les compromis et les stratégies d’atténuation
Anticiper les dépendances et les risques plutôt que de les découvrir a posteriori, qu’il s’agisse des données, de l’état de préparation des modèles ou des délais de mise en œuvre

Soutenir les équipes en éliminant les obstacles, en gérant les exceptions et en résolvant les dépendances

Utiliser de manière responsable les outils d’IA et d’automatisation approuvés pour garantir la visibilité, la reproductibilité et une source unique de vérité tout au long de la livraison, tout en validant les résultats et en préservant le jugement humain
Promouvoir les pratiques de livraison Agile et Lean, en soutenant les équipes auto-organisées évoluant dans des environnements complexes

S’appuyer sur des données factuelles et des enseignements validés pour adapter les plans, améliorant ainsi l’efficacité de la livraison, la collaboration et les résultats du programme

Agir en tant qu’agent du changement, en aidant les équipes à s’adapter à l’évolution des exigences, aux incertitudes liées à la recherche et aux priorités de la plateforme

Qualifications Minimales

Licence en ingénierie, en informatique, en gestion d’entreprise ou dans un domaine connexe

Au moins 5 ans d’expérience dans la mise en œuvre d’initiatives complexes impliquant plusieurs équipes, au sein d’environnements techniques en constante évolution

Au moins 3 ans d’expérience dans un poste de TPM, de chef de produit, d’architecte logiciel ou dans un rôle similaire

Solide compréhension des plateformes cloud et des systèmes distribués, y compris les API et les services sur AWS, Azure ou Google Cloud

Connaissance pratique des concepts d’IA/ML et du cycle de vie du développement logiciel, notamment de l’utilisation des outils assistés par l’IA dans la mise en œuvre

Excellentes compétences en communication et en gestion des parties prenantes, avec la capacité d’influencer des publics tant techniques que non techniques

Solides compétences en résolution de problèmes, avec une orientation vers l’action et les résultats

Qualifications Souhaitées

Expérience dans la mise en œuvre de programmes d’IA/ML, d’IA générative, de plateformes de données ou de programmes allant de la recherche à la production

Connaissance des systèmes d’IA tels que l’entraînement et l’évaluation de modèles, l’inférence et le service, ou encore les bases de données de recherche et vectorielles

Compréhension des concepts de responsabilité en matière d’IA, de gouvernance des données, de confidentialité et de conformité

Passion pour l’excellence opérationnelle, l’amélioration des processus et les pratiques de livraison évolutives

Learn More

About Autodesk

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

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 About employer

More about this job

Responsibilities

Drive the end-to-end delivery of Generative AI Accelerator (GAIA) outcomes, moving emerging AI capabilities from research into production. Orchestrate cross-functional collaboration between research, engineering, security, legal, and product teams to ensure scalable and responsible AI delivery.

Requirements

Requires a bachelor's degree in a related field and at least 5 years of experience delivering complex, cross-team technical initiatives. Candidates must have a strong understanding of cloud platforms, AI/ML concepts, and excellent stakeholder management skills.

Skills

Technical Program Management
AI/ML
Generative AI
Cloud Platforms
Distributed Systems
Stakeholder Management
Agile
Lean
Data Governance
Risk Management
API
AWS
Azure
Google Cloud
Problem-solving

Benefits

Annual cash bonuses
Stock grants

Visa sponsorship

Not detected in the job text

Keywords

Technical Program Manager
AI/ML
Generative AI
GAIA
Cloud Platforms
Distributed Systems
API
AWS
Azure
Google Cloud
Agile
Lean
Data Governance
Privacy
Compliance
Model Training
Inference
Vector Databases
Risk Management
Stakeholder Management
Operational Scalability
Research-to-production
Platform Services
Emerging Technologies

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