Staff Software Engineer – AI Engineering

October 17

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KnowBe4

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Cybersecurity • SaaS • Education

KnowBe4 is a leading platform specializing in security awareness training and simulated phishing to help organizations manage the human element of cybersecurity. The KnowBe4 HRM+ platform is used by approximately 70,000 organizations globally to bolster cybersecurity risk management strategies, integrating AI-powered solutions to improve security culture and user behavior. KnowBe4 offers a comprehensive array of products including email security, security coaching, and compliance training, designed to educate and protect against social engineering, phishing, and other cyber threats. Its innovative approach combines real-time security coaching and AI-defense agents to mitigate human risks and reduce vulnerabilities. Trusted by many top cybersecurity companies, KnowBe4 is a significant player in enhancing security awareness and compliance across industries.

1001 - 5000 employees

Founded 2010

🔒 Cybersecurity

☁️ SaaS

📚 Education

📋 Description

• Define and evolve the technical vision for AI and agentic systems across products. • Design orchestration, data, and serving patterns that handle global scale with reliability. • Collaborate with AI Research to turn prototypes into extensible, governed production frameworks. • Mentor engineers, lead design reviews, and guide cross-team engineering initiatives. • Establish best practices for observability, testing, and secure, explainable AI systems. • Align teams around shared architectural principles and long-term technical goals.

🎯 Requirements

• 9+ years of experience designing and operating large-scale, distributed, or AI-driven systems. • Proven technical leadership defining architecture and design patterns across multiple teams or domains. • Expertise in Python and backend/API frameworks such as FastAPI or Flask. • Deep understanding of cloud-native architecture (AWS preferred), event-driven systems, and distributed scalability, leveraging CI/CD and infrastructure-as-code. • Experience building or integrating AI/ML platform features - model serving, orchestration, vector search, or MLOps frameworks. • A habit of turning new discoveries into reusable knowledge for the team.

🏖️ Benefits

• Company-wide bonuses based on monthly sales targets • Employee referral bonuses • Adoption assistance • Tuition reimbursement • Certification reimbursement • Certification completion bonuses • Relaxed dress code • Modern, high-tech, and fun work environment