Autodesk's Enterprise Systems & Experience (ESE) organization is looking for a Principal Data Scientist to lead the design and implementation of AI-powered data products, with a special focus on Generative AI, multi-agent systems, and agentic workflows to enhance employee experience and enterprise efficiency.
Requirements
- Strong proficiency in Python and modern data science/ML libraries (Pandas, Scikit-learn, PyTorch/TensorFlow, Keras, LangChain, etc.)
- Proven expertise in building, deploying, and maintaining ML/AI models in AWS and/or Azure production environments
- Hands-on experience with GenAI, LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent workflows
- Solid foundation in statistics, machine learning, and optimization methods.
- Proficiency in SQL and relational data modeling
- Familiarity with orchestration tools, vector databases, and graph databases for agentic workflows
- Experience developing and deploying AI/ML solutions in enterprise-scale environments
Responsibilities
- Architect and deliver advanced AI and automation solutions, leveraging GenAI, LLMs, multi-agent frameworks, and agentic workflows
- Translate complex business problems into data science approaches, guiding model design, prototyping, and production deployment
- Build sustainable data products that drive enterprise decision-making and employee experiences
- Define and deliver KPIs, metrics, and dashboards that simplify technology and operations data for business leaders.
- Design, train, and deploy ML/AI models in multi-cloud environments (AWS and Azure)
- Leverage services such as AWS (S3, Glue, SageMaker, Lambda, Athena) and Azure (Data Factory, Synapse, ML, Cognitive Services)
- Optimize workflows for data ingestion, cleaning, transformation, and orchestration across diverse data sources
Other
- Minimum Masters degree, preferably in Computer Science, Computer Engineering, Artificial Intelligence or related quantitative field, or 8+ years of relevant or equivalent experience
- Excellent communication skills—able to explain complex technical concepts to executives and non-technical stakeholders
- Demonstrated ability to influence business outcomes with data storytelling and AI strategy
- Experience working in Agile/Scrum environments
- Adaptable and comfortable with ambiguity, able to operate independently while driving alignment across multiple teams
