Autodesk

3 weeks ago

Principal MCP/AI Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Define and drive the technical direction of a production-grade agentic platform that expands a Viewer MCP experience, enabling natural-language interaction with models. Lead architecture across tool/capability modeling, agent orchestration, retrieval, and a trust model for responsible AI. Establish evaluation and quality frameworks spanning accuracy, safety, latency, and cost, and guide cross-team initiatives while raising engineering and ML maturity across the Visualization Solutions org.

Location: Toronto, Ontario

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define and drive technical strategy for the agentic platform, including MCP tool/capability model, agent orchestration, context/memory, retrieval, and trust model.
•Frame and prioritize highest-impact AI problems aligned to product and platform strategy, converting ambiguity into executable plans.
•Establish AI evaluation and quality frameworks across accuracy, safety, latency, and cost, including practices for fine-tune-vs-prompt and model-selection decisions.
•Set trust architecture standards for traceability, auditability, reversibility, human-in-the-loop, and confidence signaling.
•Lead large cross-team initiatives across multiple products and services, mentor senior engineers, and influence engineering and ML maturity across the org.

Pay and Benefits

Salary: USD 153,000 - 224,400 annually

Equity and Bonus:Equity

Key Requirements

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

Experience:8-12 yearsAI/MLLLMsAgentsRAGPlatform systems

Education:Master's

Skills:CommunicationInfluenceMentorshipIndependent problem-solvingCross-team leadership

Tech Stack:Model Context Protocol (MCP)Agentic AILLMsAgentsOrchestrationRAGRetrievalVectorEvaluationFine-tuningPromptingModel selectionTypeScriptJavaScriptAPIsDistributed systemsComposable servicesModel serving2D visualization3D visualization

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Autodesk

3 weeks ago

Principal MCP/AI Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Toronto, Ontario

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define and drive technical strategy for the agentic platform, including MCP tool/capability model, agent orchestration, context/memory, retrieval, and trust model.
•Frame and prioritize highest-impact AI problems aligned to product and platform strategy, converting ambiguity into executable plans.
•Establish AI evaluation and quality frameworks across accuracy, safety, latency, and cost, including practices for fine-tune-vs-prompt and model-selection decisions.
•Set trust architecture standards for traceability, auditability, reversibility, human-in-the-loop, and confidence signaling.
•Lead large cross-team initiatives across multiple products and services, mentor senior engineers, and influence engineering and ML maturity across the org.

Pay and Benefits

Salary: USD 153,000 - 224,400 annually

Equity and Bonus:Equity

Key Requirements

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

Experience:8-12 yearsAI/MLLLMsAgentsRAGPlatform systems

Education:Master's

Skills:CommunicationInfluenceMentorshipIndependent problem-solvingCross-team leadership

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor