Principal MCP, AI Developer

🕒 July 2

🇨🇦 Canada – Remote

💵 $153k - $224.4k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 34%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

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

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Annual cash bonuses may be included • Commissions for sales roles may be included • Stock grants may be included • Comprehensive benefits package • In-person onboarding and/or in-person ID verification may be required

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