Senior Development Manager, Platforms Development Ai/ml San Francisco, Ca

Autodesk Autodesk · Enterprise · San Francisco, CA +1

Senior Development Manager to lead a team of software and ML engineers in building Autodesk's next-generation machine learning platform (AMP), focusing on powering Agentic AI features across products. The role requires technical leadership, strategy, execution, and delivery of scalable AI/ML platforms, with a blend of AI/ML expertise, leadership skills, and project delivery experience.

What you'd actually do

  1. Lead and mentor a team of engineers in the 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. Create and manage plans, track, and ensure tactical execution and adherence to budgets, schedules, plans, and performance

Skills

Required

  • BS/MS in Computer Science, Engineering, or a related field
  • 12+ years of experience of software development with 3+ years of experience as a manager
  • Proven experience leading and mentoring software and ML development 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

What the JD emphasized

  • deep experience leading enterprise-scale platform development
  • proven track record of delivering complex projects on time and within budget
  • Experience building and deploying AI models
  • Experience working with complex agentic AI architectures

Other signals

  • leading enterprise-scale platform development
  • building the next-generation machine learning platform
  • powers the next generation of Agentic AI features
  • scalable AI/ML platform
  • complex agentic AI architectures