Principal Software Engineer

Autodesk Autodesk · Enterprise · Pune, India

Principal Software Engineer role focused on developing and shipping AI/ML features within Autodesk's Fusion product. Responsibilities include building production-grade AI features, establishing telemetry and observability for AI services, managing high-availability cloud infrastructure for AI workloads, implementing security and compliance frameworks (SOC2, PRRAF), and integrating AI into complex products. Requires experience taking AI/ML models to production, building AI-powered workflows, and system-level thinking.

What you'd actually do

  1. Ship production-grade AI features according to XD designs. Ensure features meet quality, performance, and reliability standards across different OS platforms and cloud environments
  2. Establish telemetry, observability, and monitoring for production AI services to ensure deep visibility into performance, errors, and costs through advanced logging and monitoring
  3. Build and maintain high-availability cloud services that can handle fluctuating AI workloads without breaking the bank
  4. Lead the implementation of security frameworks (SOC2, PRRAF, etc.) and ensure the cloud architecture meets rigorous compliance standards
  5. Implement guardrails for data privacy, responsible AI practices, and ethical model usage

Skills

Required

  • 8+ years of industry experience building and delivering robust, performant, and maintainable commercial applications
  • Proficiency with AWS or Azure and cloud technologies such as SageMaker, Postman, Splunk, and Dynatrace, including managing complex, multi-service environments
  • Proven track record of taking AI/ML models out of "the lab" and into a live, scalable production environment
  • Deep familiarity with security domains and the audit process for SOC2 or similar frameworks. Know how to bake security into the code, not add it later
  • Experience with telemetry tools to monitor both system health and AI model drift
  • Tech lead experience in previous roles
  • Experience with building AI-powered workflows (prompt design, guardrails, evaluation) and integrating AI into complex desktop/cloud products
  • Experience with system-level thinking and architecture design

Nice to have

  • Experience in CAD software development
  • Experience with Agile software development practices

What the JD emphasized

  • production-grade AI features
  • AI/ML features
  • AI services
  • AI workloads
  • security frameworks (SOC2, PRRAF, etc.)
  • compliance standards
  • guardrails for data privacy, responsible AI practices, and ethical model usage
  • AI-powered workflows
  • integrating AI into complex desktop/cloud products
  • AI/ML models out of "the lab" and into a live, scalable production environment
  • security domains and the audit process for SOC2 or similar frameworks
  • telemetry tools to monitor both system health and AI model drift

Other signals

  • shipping production-grade AI features
  • integrating AI into complex desktop/cloud products
  • taking AI/ML models out of "the lab" and into a live, scalable production environment