Senior Principal Engineer, Ai/ml Platform

Autodesk Autodesk · Enterprise · San Francisco, CA +1

Senior Principal Engineer to lead a team in designing, developing, and executing a next-generation machine learning platform (AMP) focused on agentic AI features for Autodesk products. The role involves technical leadership, strategy, and delivery of scalable AI/ML platforms, with a focus on complex agentic AI architectures and MLOps.

What you'd actually do

  1. Lead the strategy for development and deployment of AI/ML solutions
  2. Collaborate with cross-functional teams including product management, data science, data, and cloud infrastructure to define and execute the AI/ML platform roadmap
  3. Provide guidance to the design and architecture of scalable, reliable, and efficient AI/ML systems and drive critical technology decisions
  4. Driving the execution of the platform strategy following principles of agile methodology and best practices in software development, code quality, and security standards
  5. Actively participate in coding review processes, and problem-solving alongside your team

Skills

Required

  • BS/MS in Computer Science, Engineering, or a related field (MS preferred)
  • 12+ years of experience of software engineering, with 3+ years of experience as a technical lead or Software Architect
  • Proven experience leading and mentoring software and ML engineering teams
  • Experience with design, build and running scalable, high-performance systems production applications on cloud platforms such as AWS, Azure, or Google Cloud Platform and containerization technologies (Docker, Kubernetes)
  • Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
  • Experience working with complex agentic AI architectures, API ecosystems, guardrails, context management and other best of breed AI/ML offerings
  • Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment
  • Expertise in CI/CD, automation tools, and practices for machine learning lifecycle management
  • Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks
  • Experience with Scrum and agile development processes and methodologies
  • Excellent communication and written skills
  • Ability to inspire, motivate, and guide team members towards achieving project goals

Nice to have

  • MS preferred

What the JD emphasized

  • next generation of Agentic AI features
  • delivery of scalable AI/ML platform
  • design and architecture of scalable, reliable, and efficient AI/ML systems
  • complex agentic AI architectures

Other signals

  • next generation of Agentic AI features
  • delivery of scalable AI/ML platform
  • design and architecture of scalable, reliable, and efficient AI/ML systems
  • complex agentic AI architectures