About this role
Autodesk is seeking a Senior Applied Scientist to design and productionize agent-driven personalization platforms powered by LLMs, transformers, and agentic systems. You'll build cloud-native AI systems that deliver intelligent, adaptive experiences across flagship products like AutoCAD and Revit for millions of users.
Must have
BS or MS in Computer Science, Engineering, or related field
6 or more years of professional software engineering experience
Strong experience building AI systems in cloud environments, AWS preferred
Hands-on experience delivering AI, ML, or LLM-powered systems into production
Experience with AI agents, orchestration frameworks, or hybrid reasoning systems
Experience with MLOps practices, experimentation frameworks, and model monitoring
Proficiency in one or more programming languages such as Python, Java, or equivalent
Experience working with data systems including RDBMS, NoSQL, data warehouses, and streaming platforms
Strong understanding of system design, scalability, and operational excellence
Experience building personalization, recommendation, or insight platforms
Experience with real-time or event-driven architectures
Experience mentoring junior engineers or acting as technical lead
Technologies
Responsibilities
Design, build, and operate production-grade agentic personalization systems that adapt to user behavior and context
Research, develop and implement ML models using Transformers, LLMs, and classical ML algorithms for search and recommendation
Be proficient in agentic frameworks like LangGraph and build systems that orchestrate multi-step reasoning and tool use
Be proficient in optimized inference engines and frameworks like vLLM and TensorRT
Productionize ML- and LLM-powered workflows including inference services, orchestration, monitoring, and iteration
Build agentic systems that leverage agent memory, retrieval-augmented generation, and tool ecosystems for context-aware personalization
Build and evolve data and feature pipelines that power personalization, experimentation, and feedback loops
Develop robust methods to evaluate LLM performance ensuring ethical AI practices
Monitor and improve deployed models based on real-world performance metrics and customer feedback
Collaborate with cross-functional teams to translate research into production systems
Benefits
Recruitment process
Role operates at intersection of research and engineering
Position is remote Canada
Part of Personalized Experiences Team, a centralized Personalization group
Works closely with product line development teams across the company
Supports flagship products including AutoCAD, Revit, Construction Cloud, and Forma
Compensation package may include annual cash bonuses and stock grants
Similar offers
Engineering Manager - Security Platform
190,000 – 237,000 USD
/ year
Software Developer Intermediate (Remote Canada)
90,000 – 110,000 CAD
/ year
Senior Software Engineer
150,000 – 200,000 USD
/ year
Machine Learning Manager (LLM)
165,000 – 210,000 USD
/ year
Senior Software Engineer (AI / LLMs)
120,000 – 160,000 USD
/ year