Software Architect, AI/ML
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Key skills for this role
About the Role
Autodesk seeks a Software Architect for AI/ML to design and build scalable cloud-native services and agentic AI workflows. You will own the GenAI/ML architecture for production systems, define model strategy, and set technical direction.
Key Skills for This Role
Responsibilities
- Architect and build scalable, secure cloud native services and Agentic AI workflows that run in production
- Own the GenAI/ML architecture for production agentic systems: tool use, orchestration, state/memory, routing, and multi step workflows
- Define model strategy across prompting, retrieval (RAG), and fine tuning—making tradeoffs using measurable quality, latency, safety, and cost
- Standardize tool/context integrations across internal systems using MCP based patterns
- Establish evaluation + observability standards (regression tests, monitoring, feedback loops)
- Set technical direction via reference architectures, best practices, and hands on technical guidance across teams
- Partner closely with Product, Security/Privacy, and Engineering leaders to deliver high impact features
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience
- 8+ years building cloud native software in production (distributed systems, APIs, data intensive services, reliability and operations)
- 4+ years delivering AI/ML powered systems in production
- Experience with LLM based systems (RAG, MCP, Agent workflows, fine tuned models)
- Experience with MCP or similar standardized patterns for connecting models to tools and context
- Experience deploying and maintaining AI Applications in production reliably
- Proficiency in Python/TypeScript/Java with strong engineering fundamentals
- Strong communication skills
Full Job Posting
Position Overview
- If you love building real systems that real customers use—and you get genuinely excited about LLMs, RAG, MCP, and agentic architectures—this role is for you.
- The Applied AI team in Autodesk's Data and Process Management (DPM) organization ships Cloud Native AI agents that make our Product Data Management (PDM) and Product Lifecycle Management (PLM) workflows smarter and easier.
Responsibilities
- Architect and build scalable, secure cloud native services and Agentic AI workflows that run in production
- Own the GenAI/ML architecture for production agentic systems: tool use, orchestration, state/memory, routing, and multi step workflows
- Define model strategy across prompting, retrieval (RAG), and fine tuning
- Standardize tool/context integrations across internal systems using MCP based patterns
- Establish evaluation + observability standards
- Set technical direction via reference architectures, best practices, and hands on technical guidance across teams
- Partner closely with Product, Security/Privacy, and Engineering leaders to deliver high impact features
Minimum Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience
- 8+ years building cloud native software in production
- 4+ years delivering AI/ML powered systems in production
- Experience with LLM based systems (RAG, MCP, Agent workflows, fine tuned models)
- Experience with MCP or similar standardized patterns
- Experience deploying and maintaining AI Applications in production reliably
- Proficiency in Python/TypeScript/Java with strong engineering fundamentals
- Strong communication skills
Preferred Qualifications
- Deep experience designing AI evaluation pipelines and production release strategies for AI Applications
- Experience with AWS/Azure/GCP and modern platform practices (containers, Kubernetes, CI/CD, observability)
- Experience in PLM/PDM, manufacturing, CAD, or enterprise workflow software
- Open source contributions, publications, or talks related to distributed systems, ML or GenAI systems
Salary transparency
- For Canada based roles, we expect a starting base salary between CAD 188,000 and CAD 275,000.
- 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.
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