other
Posted Apr 20Principal AI Platform Architect
at Qualys
On-site
Responsibilities
- Define reference architectures for agentic runtimes, tool integration, policy enforcement, identity, and secure data access in production.
- Drive non-functional
- Develop and optimize data ingestion, transformation, and orchestration pipelines across diverse enterprise systems Establish data models, governance standards, lineage, and data quality frameworks Enable AI readiness through structured data access, feature pipelines, and embedding/vector capabilities Design and implement secure, compliant, and scalable cloud-based data infrastructure Build APIs and reusable platform services for downstream AI and application teams Partner with engineering and business
Requirements
- 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.
- requirements into scalable AI flow architectures that are grounded in customer context and AI best practices.
- experience in data engineering, platform engineering, or data architecture Deep expertise in distributed systems and cloud-native design, with strong knowledge of modern AI architectures (LLM serving, RAG, agentic orchestration)
- Experience building production AI systems with strong observability, reliability engineering, and cost controls Proven track record of building or transforming enterprise-scale data platforms / lakehouse architectures Strong hands-on expertise in: Data pipelines (batch and streaming) Distributed data processing systems Cloud platforms (AWS, GCP, or Azure)
- Experience with data modeling, governance, lineage, and quality frameworks Excellent executive communication skills, with the ability to drive decisions under ambiguity Hands-on architectural credibility, with the ability to go deep when needed and guide teams from concept to production Strong programming skills (Python, SQL, or equivalent) Solid understanding of security, access control, and enterprise data management principles Preferred