Join a high‑impact team that powers search and Context Graph capabilities across Autodesk’s Industry Cloud suite. You’ll lead AI/ML system design, model deployment and automation while mentoring engineers.
What You’ll Do
- Build scalable AI/ML platforms for search, recommendation, and Context Graph.
- Architect low‑latency, reliable model inference pipelines.
- Create AI automation workflows for rapid feature development.
- Set technical direction and AI/ML best practices.
- Conduct code reviews and raise development standards.
- Collaborate with architects, product managers and SREs to meet service SLAs.
- Mentor junior engineers on AI/ML engineering.
What You Need
- 5‑7 years building and operating ML systems at scale.
- Strong fundamentals in model training, evaluation, and production deployment.
- Expert Python for ML; familiarity with Java or other backend languages.
- Designing LLM‑powered applications, RAG architectures, agents, or fine‑tuning pipelines.
- Hands‑on with MLOps tools such as MLflow, Kubeflow, SageMaker Pipelines.
- Experience with vector databases and embedding‑based retrieval systems.
- Cloud expertise on AWS services like SageMaker, Lambda, ECS.
Good to Have
- Knowledge of graph databases (Neo4j, Neptune) and Context Graph technology.
- Familiarity with AI evaluation frameworks such as RAGAS, LangSmith, HELM.
- Experience with agentic AI frameworks like LangChain or LlamaIndex.
- Awareness of security and compliance challenges in cloud AI products.
The Opportunity
The role sits within Autodesk Platform Services, influencing AI/ML for Fusion, Forma and Flow, and benefits from Autodesk’s strong culture of innovation and belonging.