principal machine learning AI Infrastructure Engineer tech_leadership · Posted Apr 20, 2026
$185,000 – $220,000
USD per year

About this role

Qualys is hiring a principal-level AI Infrastructure Engineer in the machine learning function based in Foster City, CA. The posting calls out experience with Python, SQL, AWS, GCP. Compensation is listed at $185,000–$220,000 per year.

Role
AI Infrastructure Engineer
Function
machine learning
Level
principal
Track
Tech leadership
Employment
Full-time
Location
Foster City, CA
Posted
Apr 20, 2026

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Job description

from Qualys careers

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

About the Role

You will define and lead the reference architecture for third-party AI products within IT, enabling secure, scalable agentic capabilities and accelerating enterprise-wide AI adoption. In this role, you will design, scope, and implement complex AI workflows, operating at the intersection of business operations, AI workflow design, data architecture, enterprise integration, data orchestration, and change management.

You will own the end-to-end design and build of a modern lake house and AI ecosystem—powering intelligent automation, advanced analytics, and global-scale AI use cases. This includes working across structured, semi-structured, and unstructured data, while ensuring solutions are secure, reliable, scalable, and aligned with real-world clinical and administrative processes. You bring a hands-on mindset, driving outcomes across architecture, engineering, and platform leadership.

What You’ll Do

  • Own the architectural vision, principles, and guardrails for AI-first capabilities, including agent orchestration, runtime hosting, model gateways, retrieval/grounding, and enterprise integrations.
  • Define reference architectures for agentic runtimes, tool integration, policy enforcement, identity, and secure data access in production.
  • Drive non-functional requirements (reliability, performance, cost efficiency, scalability) and establish SLOs and validation approaches.
  • Translate business and operational requirements into scalable AI flow architectures that are grounded in customer context and AI best practices.
  • This is an excerpt. Read the full job description on Qualys careers →
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