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Added 1 min ago
Full Stack Software Engineer - AI Agents
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Alongside our client work, a small product team at Blanc Labs is building our own AI agent platform: agents that hold real conversations with customers across voice, SMS, and chat. The…
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Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Background as an architect, engineer, BIM or computational design specialist, or direct experience with Revit, Forma, IFC, or similar AEC tools and data
Added 11 hours ago
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Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Background as an architect, engineer, BIM or computational design specialist, or direct experience with Revit, Forma, IFC, or similar AEC tools and data
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Autodesk

Software Development Manager, Integration ML Models

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 26, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Job Requisition ID #

26WD101869

Position Overview

Autodesk is building AI that helps architects and engineers design, build, and operate the world around them. As the Software Development Manager, you will lead the team that brings our foundation models and agentic workflows into the AEC tools customers use every day. You will pair an understanding of how architects and engineers work with a clear view of how AI will change that work, and you will lead a team that tests ideas fast, learns from what fails, and ships what works.

Join us in transforming the AEC industry and shaping the future of design and construction.

Report: You will report to a Senior Software Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.

Location: We support hybrid work, and you work near our Toronto, Canada office.

Team Scope

You Will Directly Manage Engineers Responsible For

Integrating foundation models and agentic workflows into AEC products such as Forma and Revit
Building the APIs and tools (including MCP) that let AI assistants and partners use those capabilities safely
Collecting the real-user feedback that improves our foundation models
Delivering client-side and server-side features and owning the end-to-end experience for what your team ships

Responsibilities

Lead a team that learns fast. Create an environment where the team tries new things, accepts that some will fail, and learns quickly from each attempt. Make it safe to be brave, fail fast, and have fun while doing it
Point the team at ideas worth testing. Identify plausible areas of investigation and frame them as testable hypotheses. Favor small, fast experiments (prototypes, evals, pilots with real users) over long plans, and know when to double down or stop
Know how architects and engineers actually work. Stay close to AEC practitioners and understand their real workflows, handoffs, deliverables, and pain points, so the team builds what they need rather than what is easy to build
Imagine how AI will change AEC work. Develop and communicate a point of view on how AI agents could transform the way architects and engineers work in the future, and turn that vision into concrete product bets for our integrations in Forma, Revit, and more
Make agentic development the way the team works. Guide the team in using coding agents day to day. Set norms for specifying work, reviewing agent output, testing, and guardrails so speed does not cost quality. Measure the real impact on throughput and keep improving the workflow
Close the loop with real users. Make sure our integrations capture the feedback that matters (ratings, edited layouts, confirmed outputs) and feed it back to ML to improve our foundation models. Define and track the metrics, such as adoption and usability, that show whether AI output is actually useful to practitioners
People leadership & coaching. Run regular 1:1s, performance conversations, and career development. Coach engineers as their role shifts toward problem framing, specification, judgment, and review of agent-generated work. Foster ownership, quality, and psychological safety
Deliver predictable results while experimenting. Turn product priorities into clear milestones and time-boxed bets. Manage scope and dependencies so the team delivers on schedule without squeezing out exploration
Cross-functional partnership. Work closely with Product, ML/Research, UX, Forma and Revit product teams, Data teams, and Security/Privacy to scope work, define acceptable behavior and failure modes, and deliver integrated solutions
Talent & hiring. Recruit and onboard people who are curious, AEC-literate, and fluent with AI tools, and participate in interview calibration and hiring

Minimum Qualifications

Track record of leading teams that ship software products and of coaching and growing individual contributors
Demonstrated understanding of how architects and engineers work, gained as a practitioner or by building products for AEC users
Hands-on experience using AI and agentic tools in development, with a clear view of what works, what fails, and how to keep quality high
Enough technical fluency to review agent-generated work and discuss architecture and APIs credibly with engineers
Experience leading a team through experimentation: setting hypotheses, running fast tests, and making clear decisions from the results
Experience working with or alongside ML/AI or research teams to turn model capabilities into usable product experiences
Strong written and verbal communication skills; proven ability to work cross-functionally and to explain a vision clearly

Preferred Qualifications

Background as an architect, engineer, BIM or computational design specialist, or direct experience with Revit, Forma, IFC, or similar AEC tools and data
Experience designing agent-facing tools such as MCP servers, tool or function-calling interfaces, or orchestration frameworks
Experience building evaluations for AI features, including user-feedback loops such as ratings, edits, and confirmations
Experience shipping developer-facing surfaces: stable, versioned, well-documented APIs and tooling

The Ideal Candidate

You are excited about how AI could change the way buildings are designed and engineered, and you can describe that future concretely
You understand how architects and engineers really work and you keep learning from them
You are comfortable with failure as a source of learning, and you help your team be brave, move fast, and have fun
You have good instincts for which ideas are worth testing and which are not
You use AI tools yourself every day and can show your team what good looks like
You can translate ambiguous AI and research goals into practical plans
You have a passion for being a mentor and a teacher, and you can recruit and identify top talent
You easily communicate progress and build trust with a diverse set of partners

Learn More / Plus d'information

About Autodesk / À Propos D’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!

Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l’être.

Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde.

En tant qu’Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !

Salary transparency / Transparence Salariale

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $140,000 and $205,700. 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. Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $140,000 et $205,700. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.

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.

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More about this job

Responsibilities

Lead a team integrating foundation models and agentic workflows into AEC products such as Forma and Revit, including APIs and tools that enable safe use by AI assistants and partners. Guide experimentation, people development, delivery, and cross-functional collaboration while capturing practitioner feedback and measuring the usefulness of AI features.

Requirements

Candidates need a track record of leading teams that ship software and developing individual contributors, along with a strong understanding of architect and engineer workflows. They should have hands-on experience with AI and agentic development tools, be technically fluent in architecture and APIs, and be able to lead rapid experimentation and collaborate with ML or research teams.

Skills

Software Engineering Leadership
Team Coaching
AEC Workflows
Artificial Intelligence
Agentic Workflows
Foundation Models
AI Tooling
API Design
Model Evaluation
User Feedback Loops
Rapid Experimentation
Product Development
Cross-Functional Collaboration
Technical Architecture
Hiring and Talent Development

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Autodesk
AEC
Architecture
Engineering
Construction
Artificial Intelligence
Foundation Models
AI Agents
Agentic Workflows
Forma
Revit
MCP
APIs
Tool Calling
Orchestration Frameworks
Machine Learning
Research
AI Evaluations
User Feedback
BIM
IFC
Computational Design
Prototyping
Pilots
Experimentation
Security
Privacy
Versioned APIs
Developer Tools
Hybrid Work

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