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Senior Principal Engineer, AI/ML Platform

178 875 - 320 650$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Principal Engineer, AI/ML Platform (AI/ML): Building and scaling Autodesk's next-generation machine learning platform and agentic AI features with an accent on scalable architecture, cloud deployment, and MLOps. Focus on leading software and ML engineering teams, designing reliable AI/ML systems, and delivering complex platform strategies with AWS, Azure, or Google Cloud.

Location: San Francisco, CA, USA

Salary: $178,875–$320,650 annual base salary for U.S.-based roles; offers may exceed this range and may include bonuses, stock grants, and benefits.

Company

hirify.global develops software that helps innovators design and create buildings, vehicles, factories, and entertainment projects.

What you will do

  • Lead the strategy, development, and deployment of the next-generation AI/ML platform.
  • Define and execute the platform roadmap with product management, data science, data, and cloud infrastructure teams.
  • Guide the architecture of scalable, reliable, and efficient AI/ML systems and make critical technology decisions.
  • Drive platform execution using agile practices, software engineering standards, code quality, and security principles.
  • Participate in code reviews and technical problem-solving alongside software and ML engineers.
  • Mentor engineers and build a high-performance engineering culture.

Requirements

  • 12+ years of software engineering experience, including 3+ years as a technical lead or software architect.
  • Bachelor's or master's degree in Computer Science, Engineering, or a related technical field; master's degree preferred.
  • Experience leading and mentoring software and ML engineering teams.
  • Experience building and operating scalable production systems on AWS, Azure, or Google Cloud, using Docker and Kubernetes.
  • Experience deploying AI models with AWS SageMaker, Amazon Bedrock, or Azure Machine Learning, including agentic AI architectures, API ecosystems, guardrails, and context management.
  • Strong knowledge of MLOps, deep learning, statistical modeling, neural networks, CI/CD, automation, Scrum, and agile development.

Culture & Benefits

  • Health, financial, wellness, and time-away benefits for U.S.-based employees.
  • Inclusive workplace focused on belonging and equal employment opportunity.
  • Work centered on meaningful software products that support design and manufacturing innovation.
  • In-person onboarding and/or identity verification may be required.

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