Lead Applied AI / GenAI Engineer

QUALYS

San Mateo, CA

JOB DETAILS
SALARY
$165,000–$185,000 Per Year
SKILLS
Application Programming Interface (API), Artificial Intelligence (AI), Automation, Compensation Management, Computer Programming, Computer Security, Continuous Improvement, Cross-Functional, Data Modeling, Decision Support, Documentation, Ecosystems, Finance, Performance Management, Performance Tuning/Optimization, Prototyping, Python Programming/Scripting Language, Quality Metrics, SQL (Structured Query Language), Software Agents, Software Engineering, System Integration (SI), Team Player, Use Cases
LOCATION
San Mateo, CA
POSTED
Today

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

About the Role

We're looking for an experienced engineer to design and deliver AI-powered applications, intelligent workflows, and automation solutions that drive measurable business impact. In this role, you'll operate at the intersection of enterprise application engineering, automation, data integration, and AI systems deployment. You'll apply strong systems thinking to connect model APIs, data sources, and workflow layers-unlocking improvements in speed, quality, and outcomes.

Focused on applied AI and GenAI, you will bridge emerging capabilities with real-world enterprise use cases, building and scaling production-grade AI solutions in a highly collaborative environment.

What You'll Do

  • Build and deploy AI-enabled RAG pipelines and intelligent workflows that connect enterprise systems, data sources, model APIs, and automation layers using modern ML and LLMs
  • Design and evolve backend services, APIs, and integrations, including retrieval, prompting, tool-calling, and orchestration patterns for use cases such as knowledge assistants, workflow automation, and decision support
  • Leverage AI-assisted development to accelerate delivery, applying a strong "editor" mindset to rigorously review, secure, and standardize AI-generated code for reliability, security, observability, and documentation
  • Develop and implement evaluation frameworks to measure output quality, retrieval accuracy, latency, and failure modes, and continuously improve system performance
  • Lead structured problem formulation with cross-functional stakeholders (IT, Security, Data, HR, Finance, and business teams) to ensure AI is applied to high-impact, real-world problems
  • Rapidly prototype solutions and scale them to production-grade deployments with appropriate guardrails, monitoring, and governance
  • Optimize AI systems for performance, cost, scalability, and reliability in enterprise environments
  • Collaborate with platform and data teams to effectively leverage enterprise data assets
  • Build and contribute reusable components, frameworks, and playbooks to accelerate development and reduce duplication across the engineering ecosystem

What We're Looking For

Required Qualifications

  • 7-12+ years of experience in software engineering, applied AI, or ML engineering
  • Hands-on experience building and deploying AI/ML or GenAI applications in production, retrieval-augmented generation, workflow orchestration, API development, system integration, agent or tool calling, prompt design, evaluation frameworks, or AI observability
  • Strong programming skills (Python + backend engineering)
  • Experience integrating applications, data sources, or internal platforms through APIs, services, event-driven patterns, or workflow tools.
  • Strong systems thinking and the ability to work across data, model, application, and infrastructure layers.
  • Ability to operate with incomplete information, break down ambiguous problems, and move from concept to implementation with appropriate judgment.

Preferred Qualifications (Value-Adding Prior Experience)

  • Experience with RAG architectures, prompt engineering, and LLM evaluation
  • Familiarity with data engineering concepts (SQL, pipelines)
  • Exposure to vector databases, embeddings, semantic search
  • Experience integrating AI into enterprise workflows/applications
  • Background in automation, intelligent agents, or workflow orchestration

Why Join Us

  • Build high-impact AI solutions at enterprise scale
  • Foundational role in shaping AI adoption strategy
  • Work on cutting-edge AI with real business outcomes

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The salary range for this position is $165,000 - $185,000 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.

About the Company

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QUALYS

Qualys, Inc., is the pioneer and leading provider of cloud security and compliance solutions with over 8,800 customers in more than 100 countries, including a majority of each of the Forbes Global 100 and Fortune 100. The Qualys Cloud Platform and integrated suite of solutions helps organizations simplify security operations and lower the cost of compliance by delivering critical security intelligence on demand and automating the full spectrum of auditing, compliance and protection for IT systems and web applications. Founded in 1999, Qualys has established strategic partnerships with leading managed service providers and consulting organizations including Accenture, BT, Cognizant Technology Solutions, Dell SecureWorks, Fujitsu, HCL Comnet, Infosys, Optiv, NTT, Tata Communications, Verizon and Wipro. The company is also a founding member of the Cloud Security Alliance (CSA).

Qualys is always looking for great talent. For career opportunities, please see http://www.qualys.com/careers

COMPANY SIZE
100 to 499 employees
INDUSTRY
Computer Software
FOUNDED
1999
WEBSITE
https://www.qualys.com