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Senior Analytics Engineer
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- Full-time
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Autodesk

Principal MCP/AI Developer

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

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Nov 4, 2026

Original job description

Job Requisition ID #

26WD99362

Position Overview

Autodesk's Visualization Solutions power high-performance 2D and 3D visualization experiences across our product portfolio. Our new team in Canada is bringing agentic AI to that experience - expanding our Viewer MCP (Model Context Protocol) into a production-grade agentic platform that lets users interact with their models in natural language and that other Visualization Solutions teams build on.

As the Principal MCP/AI Developer, you will define and drive the technical direction of that platform - its capability/tool model, agent-orchestration architecture, trust model, and the way we evaluate and operate AI in production. You operate on highly complex, ambiguous problems that span systems, domains, and teams, and you bring deep applied-ML and ML-systems expertise. You are the technical authority who sets the bar for responsible and reliable AI, and multiplies the impact of every engineer on the team.

Responsibilities

Define and drive the technical strategy for the agentic platform: the MCP tool/capability model, agent-orchestration architecture, context/memory, retrieval, and trust model.
Frame and prioritize the highest-impact AI problems, aligned with product and platform strategy, and turn ambiguity into clear, executable plans.
Establish the evaluation and quality framework for AI systems - accuracy, safety, latency, cost - and the practices for fine-tune-vs-prompt and model-selection decisions.
Set the architecture for trust: traceability, auditability, reversibility, human-in-the-loop, and confidence signaling, as platform-wide standards.
Lead the design and delivery of large, cross-team initiatives that span multiple products and services; influence and align teams across the Visualization Solutions Org.
Drive adoption of shared agentic capabilities, frameworks, and patterns; raise engineering standards and ML maturity across the org.
Act as technical authority for critical decisions and trade-offs across performance, scalability, cost, and developer experience.
Mentor senior engineers, partner with Product/UX/Applied AI on long-term roadmap, and stay hands-on in the most critical areas of the system.

Minimum Qualifications

Bachelor's or Master's in Computer Science / Computer Engineering, or equivalent experience.
8–12+ years of software engineering, including significant work on large-scale or platform systems.
Deep, hands-on experience building and operating AI/ML systems in production - LLMs, agents, orchestration, RAG - including evaluation, model selection, and fine-tune-vs-prompt trade-offs.
Expert proficiency in TypeScript/JavaScript and modern web technologies; strong architecture skills across distributed systems, APIs, and composable services.
Proven ability to lead cross-team technical initiatives and influence without direct authority.
Demonstrated ability to operate independently in highly ambiguous problem spaces.
Excellent communication skills with the ability to influence senior stakeholders.

Preferred Qualifications

Deep familiarity with the Model Context Protocol (MCP), agent frameworks, and composable tool/capability architectures.
ML-systems / ML-infrastructure expertise - eval pipelines, vector/retrieval infrastructure, model serving, data platforms.
Experience building or evolving platform ecosystems (APIs, extensibility, developer platforms).
Track record of leading major technical transformations or introducing a new technical competency to an organization.
Expertise in 2D/3D visualization, rendering engines, or graphics technologies.

The Ideal Candidate

You are a deeply experienced engineer who thinks in systems and platforms and brings deep, hard-to-find AI/ML expertise. You are comfortable in ambiguity; you frame the right problems, and you lead complex initiatives from concept to production. You balance shipping with responsible AI rigor; you set standards others adopt, and you are a force multiplier who makes the whole team - and the org's AI capability - stronger.

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 $153,000 and $224,400 Annual. 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 $153,000 et $224,400 annuel. 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

Define the technical strategy and architecture for a production-grade agentic AI platform, including its MCP capabilities, orchestration, retrieval, context and memory, trust model, and evaluation practices. Lead cross-team initiatives, establish responsible AI and engineering standards, guide technical trade-offs, and mentor engineers while partnering with Product, UX, and Applied AI.

Requirements

Requires a bachelor's or master's degree in computer science or computer engineering, or equivalent experience, and 8–12+ years of software engineering experience. Candidates need hands-on production AI/ML and ML-systems expertise, strong TypeScript/JavaScript and distributed-systems architecture skills, and a record of leading cross-team initiatives in ambiguous environments.

Skills

AI/ML Systems
Large Language Models
Agentic AI
Agent Orchestration
Model Context Protocol
Retrieval-Augmented Generation
TypeScript
JavaScript
Distributed Systems
API Architecture
AI Evaluation
Model Selection
ML Infrastructure
Cross-Team Technical Leadership
2D/3D Visualization
Responsible AI

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Model Context Protocol
MCP
Agentic AI
Large Language Models
AI Agents
Agent Orchestration
Retrieval-Augmented Generation
TypeScript
JavaScript
Distributed Systems
APIs
Composable Services
AI Evaluation
Model Selection
Fine-Tuning
Prompt Engineering
ML Infrastructure
Evaluation Pipelines
Vector Infrastructure
Retrieval Infrastructure
Model Serving
Data Platforms
Trust Model
Human-in-the-Loop
Auditability
Traceability
Responsible AI
Developer Platforms
2D/3D Visualization
Rendering Engines

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