2 days ago
Toronto, CanadaStaff+
Responsibilities
- Define and drive the technical strategy for the agentic platform, including the MCP tool and capability model, agent orchestration, context and memory, retrieval, and trust model.
- Frame and prioritize high-impact AI problems and translate ambiguity into executable plans aligned with product and platform strategy.
- Establish evaluation and quality frameworks covering accuracy, safety, latency, cost, model selection, and fine-tune-versus-prompt decisions.
- Set platform-wide standards for traceability, auditability, reversibility, human-in-the-loop workflows, and confidence signaling.
- Lead the design and delivery of large cross-team initiatives spanning multiple products and services.
- Drive adoption of shared agentic capabilities, frameworks, and patterns while raising engineering and ML maturity.
- Serve as the technical authority for trade-offs involving performance, scalability, cost, and developer experience.
- Mentor senior engineers, collaborate with Product, UX, and Applied AI, and remain hands-on in critical system areas.
Requirements
- Bachelor's or Master's degree in Computer Science or Computer Engineering, or equivalent experience.
- 8–12+ years of software engineering experience, including significant work on large-scale or platform systems.
- Deep hands-on experience building and operating production AI/ML systems involving LLMs, agents, orchestration, RAG, evaluation, model selection, and fine-tune-versus-prompt 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 and influence without direct authority.
- Ability to operate independently in highly ambiguous problem spaces and communicate effectively with senior stakeholders.
- Preferred qualifications include familiarity with Model Context Protocol, agent frameworks, composable tool architectures, ML infrastructure, evaluation pipelines, vector and retrieval infrastructure, model serving, data platforms, platform ecosystems, technical transformations, and 2D/3D visualization or graphics technologies.
Benefits
- Competitive Canada-based base salary and a comprehensive benefits package; compensation may also include annual cash bonuses and stock grants.
- The role is based in Canada and may require in-person onboarding and/or in-person identity verification.
Tech Stack
Categories
About Autodesk
Autodesk builds design and engineering software used in architecture, construction, manufacturing, and media and entertainment. Its subscription-based portfolio includes AutoCAD, Revit, Fusion 360, Maya, and 3ds Max, along with cloud collaboration and simulation services. Founded in 1982 and headquartered in San Francisco, the public company trades on NASDAQ as ADSK and serves customers ranging from AEC firms to product designers and film and game studios.