Software Architect

ems are built, evaluated, governed, and deployed in
production-bridging research advances with real-world engineering constraints.
This job will be Hybrid with occasional onsite workshops/meetings. Position may require
occasional travel outside Canada.

Responsibilities
Agentic System Architecture
• Design end-to-end architectures for agentic AI systems, including:
o Planning and reasoning loops
o Tool/function calling frameworks
o Short-term and long-term memory systems
o Multi-agent coordination and communication
• Define architectural patterns for autonomy, human-in-the-loop control, and safety
boundaries.
• Establish standards for agent lifecycle management (creation, execution,
evaluation, retirement).

LLM & Foundation Model Integration
• Architect systems integrating LLMs, multimodal models, and external tools/APIs.
• Design prompt orchestration, context management, and retrieval-augmented
generation (RAG) pipelines.
• Evaluate and select models (open-source vs proprietary) based on latency, cost,
quality, and risk.

Orchestration, Control & Reliability
• Design control planes for agent execution, state management, retries, and failure
handling.
• Implement guardrails for hallucination mitigation, constraint enforcement, and
policy compliance.
• Architect observability for agent behavior, decision paths, and tool usage.

Evaluation & Continuous Improvement
• Define metrics and evaluation frameworks for agent performance, task success,
cost, and safety.
• Architect feedback loops using user signals, automated evals, and synthetic data.
• Enable safe self-improvement and learning mechanisms where appropriate.

Cross-Functional Leadership
• Partner with product, research, security, and legal teams to align agent capabilities
with business goals.
• Mentor engineers on agentic design patterns and production best practices.
• Review system designs and implementations for architectural quality.

Minimum Qualifications
Core Experience
• 8+ years of experience in software engineering or distributed systems.
• 3+ years designing AI/ML-powered systems in production.
• Demonstrated experience building or architecting agent-based or LLM-driven
systems.

Technical Skills
• Strong proficiency in Python and/or Java/TypeScript.
• Deep understanding of LLMs, transformers, and prompt engineering.
• Experience with agent frameworks
• Solid grounding in distributed systems, event-driven architectures, and APIs.

Infrastructure & Platform
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Experience with vector databases and retrieval systems

Learn More

About 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!

Salary transparency
Salary is one part of Autodesk's competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $157,000 and $229,900. 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.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

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