Senior Security Engineer, AI/ML

Company Overview 

Qualys is a leading provider of cloud-based security and compliance solutions, processing vast amounts of data to help our global customers secure their networks, devices, and applications. With a strong focus on innovation and scale, Qualys empowers organizations to achieve continuous security and compliance through real-time visibility and analytics. As we continue to grow, we are looking for passionate and skilled professionals to join our mission in redefining the future of cybersecurity. 

Position Overview 

We are seeking a Senior Security Engineer – AI/ML who sits at the intersection of hands-on AI/ML engineering and offensive security research. You will both build and break: designing and deploying GenAI and agentic systems that power next-generation threat detection, while red teaming those same systems to uncover prompt injection exploits, adversarial inputs, model manipulation, and other emerging AI threats. 

This is a senior, dual-mandate role for an engineer who is equally comfortable orchestrating multi-agent pipelines and RAG architectures as they are tearing them apart to find weaknesses. You will set the technical bar for secure-by-design AI at Qualys, mentor other engineers, and translate research into production hardening strategies. 

Key Responsibilities 

Build 

• Build and deploy GenAI applications using LangChain, LlamaIndex, or similar frameworks, and orchestrate agentic AI workflows with tools such as AutoGen, CrewAI, or custom agent-based architectures. 

• Design, train, and evaluate ML models from scratch, spanning both classical ML and deep learning, and develop end-to-end pipelines for ingestion, preprocessing, training, evaluation, and deployment. 

• Implement and optimize RAG pipelines using embeddings and vector databases (e.g., FAISS, Pinecone, Qdrant), with security and data-leakage controls built in from the start. 

• Write robust backend APIs in Python to serve models, process data, and integrate with cloud infrastructure; monitor model performance, latency, and accuracy in production and iterate continuously. 

Break 

• Conduct in-depth research on security vulnerabilities in LLMs and AI systems, including prompt injection, jailbreaks, data leakage, model theft, and adversarial attacks. 

• Design and execute offensive security assessments and red teaming campaigns against GenAI and ML-powered systems, including the agentic pipelines built in-house. 

• Identify and classify novel threat vectors targeting model inference, training pipelines, and model-serving architectures. 

• Contribute to and build internal tooling for scanning, fuzzing, and automating LLM vulnerability discovery. 

Lead & Communicate 

• Collaborate cross-functionally with product and engineering teams to design secure AI-powered features and define hardening strategies. 

• Develop proof-of-concepts, technical whitepapers, or blog posts on emerging threats and best practices; monitor threat intelligence and academic research on AI model security and supply chain risks. 

• Represent Qualys in security and AI research communities through speaking, publishing, or standardization efforts, and mentor engineers on secure AI development.