Principal AI and Data Architect

Tech Stack

Responsibilities

• 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 internal R&D teams.

Benefits

• 401k
• Equity
• Health Insurance
• Learning Budget
• Parental Leave
• Remote Work

Culture

Requirements