Java workflow engine Jobs

Senior Applied Scientist, Personalization & Agentic Systems
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- $123,000–$180,400 a year
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Senior Applied Scientist, Personalization & Agentic Systems

Autodesk -
Toronto, ON

Apply Now

Job details

Full-time
$123,000–$180,400 a year

Qualifications

AutoCAD
Law
Computer Science
Engineering
System design
NoSQL
Java
Master's degree
Revit
AWS
Bachelor's
APIs
AI
Communication skills
Python

Full job description

Job Requisition ID #

26WD97846

Position Overview

Do you thrive in a fast-paced, high-energy environment? Are you a creative problem solver who enjoys building solutions and products using cutting edge technologies? Are you looking to collaborate with motivated individuals from diverse backgrounds? Do you have the drive to make things happen? If so, you are in the right place.

Autodesk is leading the transformation of how users interact with design and engineering software by embedding AI deeply into our products. We are building cloud-native, AI-powered platforms that operate at scale, leveraging data, machine learning, and agentic systems to deliver intelligent, adaptive, and personalized experiences across our flagship products including AutoCAD, Revit, Construction Cloud, and Forma.

The Personalized Experiences Team is a centralized Personalization group working closely with product line development teams across the company to democratize ML/Analytics across all Autodesk products. As a Senior Applied Scientist, Personalization, you will play a key role in designing, building, and productionizing agent-driven personalization platforms used by millions of customers. This role is ideal for a senior, hands-on engineer who combines strong software fundamentals with experience delivering AI and ML systems into reliable, scalable production environments.

As an Applied Scientist at Autodesk, you will operate at the intersection of research and engineering building AI agents, ML systems, data platforms, and helping transform advanced AI capabilities into trusted, reproducible, and widely adopted platform features.

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 use cases

Be proficient in agentic frameworks (e.g., LangGraph) and building systems that orchestrate multi-step reasoning, tool use, and decision-making workflows.

Be proficient in optimized inference engines/frameworks like vLLM, TensorRT

Productionize ML- and LLM-powered workflows, including inference services, orchestration, monitoring, and iteration

Build agentic systems that leverage agent memory, retrieval-augmented generation (RAG), and tool ecosystems/APIs to deliver context-aware personalization and recommendations

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 including engineering, product management, and operations to translate research into production systems

Minimum Qualifications

BS or MS in Computer Science, Engineering, or a related field

6 or more years of professional software engineering experience, including ownership of production systems

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

Ability to work autonomously while collaborating effectively across engineering, product, and data teams

Excellent communication skills and ability to influence technical decisions

Experience building personalization, recommendation, or insight platforms

Experience with real-time or event-driven architectures

Exposure to AI governance, privacy, or safety considerations at scale

Experience mentoring Junior engineers or acting as a technical lead on complex initiatives

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 based roles, we expect a starting base salary between $123,000 and $180,400. 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://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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