Principal MCP/AI Developer

Autodesk, Inc; Toronto; On-site; CAD 153,000 - 224,000; Full time

Benefits offered by this job

Salary transparency

On-site onboarding

Job summary

Autodesk in Canada is seeking a Principal MCP/AI Developer to define and drive the technical direction of our agentic platform for 2D/3D visualization. You will shape the MCP tool model, agent orchestration, memory, and trust framework while mentoring engineers.

You will lead cross‑team initiatives across Visualization Solutions, ensure production readiness of AI systems (LLMs, RAG), collaborate with product UX and applied AI, and advocate responsible AI practices.

Qualifications

• 8–12+ years in software engineering, with platform-scale experience.
• Hands-on with AI/ML systems in production (LLMs, agents, orchestration, RAG).
• Strong TypeScript/JavaScript and modern web tech expertise.

Responsibilities

• Define and drive the technical strategy for the agentic MCP platform.
• Frame and prioritize high-impact AI problems aligned with product goals.
• Lead cross-team initiatives spanning multiple products and services.

Skills

TypeScript/JavaScript

Distributed systems

AI/ML in production

Cross-team leadership

Communication skills

Education

Bachelor's or Master's in CS/CE

Tools

LLMs

RAG

APIs

Cloud platforms

Job description

Job ID26WD99362Job Requisition ID #26WD99362Position OverviewAutodesk'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.ResponsibilitiesDefine 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 QualificationsBachelor'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 QualificationsDeep 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 CandidateYou 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 MoreAbout AutodeskWelcome 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 transparencySalary 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. 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.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belongingIn-Person Onboarding and Identity VerificationThis role may require in-person onboarding and/or in-person ID verification.