Senior Principal Engineer, AI/ML Platform

Autodesk

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$178,875–$320,650 / yr
Posted
29 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $250k
$151k most similar roles pay here $339k

This role pays more than 77% of similar roles. Most pay $169,550–$246,150 — the shaded band above. At the midpoint, this role pays about $250k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Autodesk

Autodesk is a global leader in 3D design, engineering, and entertainment software, enabling users to imagine, design, and create a better world.

Autodesk currently has 17 open roles on FindRole.

Listed pay typically runs $139,000–$249,260 across 17 roles with salary data.

Most-posted roles

View all roles at Autodesk

At a glance

TL;DR · Senior Principal Engineer, AI/ML Platform

Senior Principal Engineer, AI/ML Platform will lead a team of software and machine learning engineers in the design, development, and execution of AMP, a next-generation machine learning platform. This role focuses on building Agentic AI features within Autodesk products while driving technical strategy, architecture, and delivery for scalable systems. The successful candidate will manage the roadmap for AI/ML solutions, oversee code reviews, and foster a high-performance culture through mentorship. Key technical requirements include experience with cloud platforms like AWS, Azure, or Google Cloud Platform, along with containerization tools such as Docker and Kubernetes. Expertise is required in MLOps, CI/CD pipelines, and deep learning models using SageMaker, Bedrock, or Azure Machine Learning. The role addresses the challenge of building robust infrastructure for complex agentic AI architectures, including API ecosystems, guardrails, and context management.

What does a Engineer earn in California?

Median $208000 from 94 postings across 22 companies.

See salary data

What you'll do

  • Lead the strategy for developing and deploying scalable AI/ML solutions and Agentic AI features.
  • Define and execute the technical roadmap for the machine learning platform in collaboration with cross-functional teams.
  • Guide the design and architecture of reliable, high-performance systems using cloud platforms and containerization technologies.
  • Drive project execution following agile methodologies, code quality standards, and security protocols.
  • Participate in code reviews and solve complex technical problems alongside the engineering team.
  • Mentor software and ML engineers to foster a high-performance culture and engineering excellence.
  • Manage MLOps workflows including model versioning, monitoring, and automated deployment through CI/CD pipelines.

What we're looking for

  • BS/MS degree in Computer Science, Engineering, or a related field.
  • 12+ years of experience in software engineering.
  • 3+ years of experience as a technical lead or Software Architect.
  • Proven experience leading and mentoring software and ML engineering teams.
  • Experience building and running scalable systems on cloud platforms (AWS, Azure, or GCP) using Docker and Kubernetes.
  • Experience deploying AI models using AWS SageMaker, Bedrock, or Azure Machine Learning.
  • Expertise in MLOps principles, CI/CD pipelines, and automation tools for machine learning lifecycle management.
  • Strong background in deep learning, statistical modeling, neural networks, and complex agentic AI architectures.

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