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.
- 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 teams to translate requirements into robust data solutions
- Contribute to foundational MLOps/LLMOps readiness (pipeline standardization, monitoring, lifecycle considerations)
What We’re Looking For
Required Qualifications
- 15+ years of 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 Qualifications (Value-Adding Prior Experience)
- Experience supporting or enabling AI/ML or GenAI workloads
- Familiarity with vector databases, embeddings, or feature engineering pipelines
- Exposure to event-driven or real-time data architectures
- Experience working within complex enterprise application ecosystems (CRM, ERP, HR, integrations, etc.)
- Prior experience in product-based, high-scale, or global environments
Why Join Us
- Opportunity to build the enterprise data and AI foundation from scratch
- High-impact, high-visibility role influencing long-term strategy
- Work on scalable, real-world AI enablement
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The salary range for this position is $185,000 - $220,000 per year. Final compensation will be determined based on several factors, including but not limited to skills, relevant experience, and work location. Please note this range reflects base salary and does not include incentive compensation or potential equity grants. We also offer a comprehensive and highly competitive benefits package.
Qualys is an Equal Opportunity Employer, please see our EEO policy.
Skills Required
- 15+ years of experience in data engineering, platform engineering, or data architecture
- Deep expertise in distributed systems and cloud-native design
- Experience building production AI systems
- Proven track record of building enterprise-scale data platforms
- Strong hands-on expertise in data pipelines and distributed data processing systems
- Excellent executive communication skills
- Hands-on architectural credibility
- Strong programming skills (Python, SQL, or equivalent)
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
