Principal AI and Data Architect

Red Canary, a Zscaler company, monitors an enterprise’s environment to detect and respond to cybersecurity threats so they can focus on their mission. Our Managed Detection and Response (MDR) solution is a unique blend of human expertise and security, which protects organizations from modern adversaries as their teams work remotely, move to the cloud, and they adopt new cybersecurity and IT technologies.

Role

We are looking for a Principal AI and Data Architect to join our Red Canary team. This is a Remote role, reporting to the VP, Software Engineering. You will architect the large-scale data infrastructure and advanced AI/ML frameworks necessary to automate threat detection and enhance SOC efficiency. Ultimately, this leader will transform massive security telemetry into actionable intelligence using ML Models, LLMs, and AI agents to drastically reduce manual analyst workloads.

What you’ll do (Role Expectations)

• Lead the design and implementation of large-scale data architectures for cloud-based systems (AWS, Azure) to efficiently ingest, store, and process massive volumes of security telemetry and alerts
• Spearhead advanced AI/ML initiatives, including Generative AI, to develop end-to-end AI solutions for SOC automation, threat detection, and threat hunting, leveraging frameworks like Scikit-learn, TensorFlow, and PyTorch
• Drive the use of Large Language Models (LLMs) and AI Agents to enhance the enrichment of security data, enabling faster human decision-making, while exploring and evaluating various LLM architectures
• Collaborate across teams to integrate ML-driven insights into the platform and apply automation and analytics to reduce analyst workload and enhance detection fidelity
• Provide architectural guidance across engineering based on the fast-paced world of GenAI, Agents, and classic ML models, including those developed by our internal R&D teams

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 12+ years of experience inclusive of data architecture and AI/ML, with a track record of designing and implementing large-scale data systems and production-grade ML solutions
• Proficiency in Python (for data processing and ML pipelines), cloud platforms (AWS and/or Azure including data storage, compute services, and security controls), and MLOps best practices
• Bachelor's degree in Computer Science or a related field or equivalent

What Will Make You Stand Out (Preferred Qualifications)

• Security domain knowledge including SOC operations, threat detection methodologies, log formats, common attack techniques, and understanding of how ML can enhance detection and response
• Familiarity with modern data pipelines, streaming technologies, and AI Agent frameworks
• Proficiency with infrastructure-as-code, containerization, and CI/CD for data and model deployments

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