Senior AI Platform Architect: Enterprise Data & Lakehouse

QLYS_US Qualys, Inc.

Foster City (CA)

On-site

USD 185,000 - 220,000

Full time

14 days+
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Benefits offered by this job

Comprehensive benefits package

Job summary

Qualys, Inc. is seeking an experienced leader to define and lead the reference architecture for third-party AI products within IT, enabling secure, scalable agentic capabilities and accelerating enterprise-wide AI adoption.

You will design, scope, and implement complex AI workflows across data, integration, and governance domains. You will own the end-to-end design and build of a modern lake house and AI ecosystem—powering intelligent automation, analytics, and global-scale AI use cases with

Qualifications

  • 15+ years of experience in data engineering, platform engineering, or data architecture.
  • Proven knowledge of AI architectures (LLM serving, RAG, agentic orchestration).
  • Strong observability, reliability engineering, and cost controls in production AI.
  • Excellent executive communication and ability to drive decisions under ambiguity.

Responsibilities

  • Define the architectural vision and guardrails for AI-first capabilities.
  • Design reference architectures for agent runtimes and enterprise integrations.
  • Drive non-functional requirements and establish SLOs.
  • Translate requirements into scalable AI flow architectures grounded in business context.
  • Develop data ingestion, transformation, and orchestration pipelines.
  • Collaborate with engineering and business teams to deliver robust data solutions.
  • Contribute to foundational MLOps/LLMOps readiness.

Skills

Data engineering
Platform engineering
Data architecture
Distributed systems
Cloud platforms (AWS/GCP/Azure)
Python
SQL
Executive communication
Architectural leadership

Tools

Vector databases

Job description

Qualys, Inc. is seeking an experienced leader to define and lead the reference architecture for third-party AI products within IT, enabling secure, scalable agentic capabilities and accelerating enterprise-wide AI adoption.

You will design, scope, and implement complex AI workflows across data, integration, and governance domains. You will own the end-to-end design and build of a modern lake house and AI ecosystem—powering intelligent automation, analytics, and global-scale AI use cases with

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