Job Requisition ID #
25WD89306
Senior Principal Machine Learning Engineer – Generative AI
Remote or Hybrid – United States or Canada
Position Overview
Autodesk is driving innovation in the Architecture, Engineering, and Construction (AEC) industry by embedding advanced AI into our next-generation cloud-native platforms. Across industry-defining products like AutoCAD, Revit, Construction Cloud, and Forma, we are harnessing generative AI and foundation models to transform how professionals design, build, and shape the world.
As a Senior Principal Machine Learning Engineer on the AEC Solutions team, you will serve as a strategic technical leader guiding the architecture, implementation, and scaling of Autodesk’s generative AI initiatives. This role is pivotal in shaping our AI strategy—bridging cutting-edge research with engineering execution to create impactful, production-grade capabilities. You’ll work across organizations to define roadmaps, architect solutions, mentor engineering talent, and influence product direction at scale.
You will report to the Machine Learning Manager within the AEC Solutions organization.
Location
We support remote and hybrid work. Candidates near Boston, MA or Toronto, Canada are preferred for occasional in-person collaboration.

Responsibilities

• Set the strategic technical vision for Autodesk’s generative AI capabilities in the AEC domain, influencing both short-term priorities and long-term investments.
• Architect and guide the development of scalable ML systems and infrastructure supporting multimodal data (text, 2D/3D geometry, structured data).
• Lead complex, cross-functional AI/ML initiatives across product, research, and engineering organizations—from problem definition through model deployment and iteration.
• Translate evolving research in LLMs, diffusion models, and Retrieval-Augmented Generation (RAG) into practical, scalable, and responsible production solutions.
• Champion engineering excellence in ML systems, including reproducibility, automation, deployment tooling, model monitoring, and performance optimization.
• Influence Autodesk’s AI/ML roadmap by identifying opportunities where generative AI unlocks new value for AEC customers.
• Act as a technical advisor and thought leader across teams, contributing to architectural reviews, strategic planning, and product decisions.
• Mentor and coach senior engineers and technical leads, cultivating a culture of innovation, high standards, and continuous learning.
• Communicate complex technical topics clearly and persuasively to senior leadership, cross-functional stakeholders, and executive audiences.
• Evaluate and integrate external tools, platforms, and technologies that accelerate Autodesk’s AI/ML capabilities.

Minimum Qualifications

• MS or PhD in Machine Learning, Artificial Intelligence, Computer Science, or a related field.
• 12+ years of experience in machine learning engineering, with 5+ years in senior technical leadership roles.
• Demonstrated experience leading strategic, high-impact AI/ML initiatives in production environments at scale.
• Expertise in modern ML architectures (Transformers, diffusion models, CNNs, GANs) and frameworks (PyTorch, Lightning, Ray).
• Proven success deploying generative AI solutions, including LLM fine-tuning, RAG pipelines, or multi-modal modeling.
• Strong proficiency with cloud-based ML infrastructure (AWS, SageMaker, Docker, Kubernetes) and distributed computing.
• Deep understanding of 2D/3D geometric data and large-scale data processing pipelines.
• Exceptional communication and cross-functional collaboration skills, with a track record of influencing across organizations.

Preferred Qualifications

• Domain experience in Architecture, Engineering, or Construction (AEC), or deep understanding of AEC workflows and data types.
• Familiarity with Autodesk products and ecosystems (e.g., AutoCAD, Revit, BIM workflows).
• Prior experience mentoring and developing senior technical talent and shaping team culture.
• Experience with ethical AI, model governance, and responsible deployment practices.
• Knowledge of data orchestration frameworks (e.g., Spark, MLFlow, Airflow) and scalable experimentation platforms.

Ideal Candidate
You are a visionary technical leader and a hands-on engineer. You thrive in complex, fast-paced environments where strategy and execution intersect. You bring clarity to ambiguity, inspire cross-functional teams, and consistently drive results. You’re not only passionate about AI, but about applying it in ways that unlock transformative value for industries that shape the built world. You’re excited to leave a lasting impact on Autodesk’s AI ecosystem—and on the future of design and construction.
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!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting
https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $166,600 and $269,500. 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.
Equal Employment Opportunity
At Autodesk, we’re building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
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
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• Set the strategic technical vision for Autodesk’s generative AI capabilities in the AEC domain, influencing both short-term priorities and long-term investments.
• Architect and guide the development of scalable ML systems and infrastructure supporting multimodal data (text, 2D/3D geometry, structured data).
• Lead complex, cross-functional AI/ML initiatives across product, research, and engineering organizations—from problem definition through model deployment and iteration.
• Translate evolving research in LLMs, diffusion models, and Retrieval-Augmented Generation (RAG) into practical, scalable, and responsible production solutions.
• Champion engineering excellence in ML systems, including reproducibility, automation, deployment tooling, model monitoring, and performance optimization.
• Influence Autodesk’s AI/ML roadmap by identifying opportunities where generative AI unlocks new value for AEC customers.
• Act as a technical advisor and thought leader across teams, contributing to architectural reviews, strategic planning, and product decisions.
• Mentor and coach senior engineers and technical leads, cultivating a culture of innovation, high standards, and continuous learning.
• Communicate complex technical topics clearly and persuasively to senior leadership, cross-functional stakeholders, and executive audiences.
• Evaluate and integrate external tools, platforms, and technologies that accelerate Autodesk’s AI/ML capabilities