Principal AI and Data Architect (Cybersecurity)

TL;DR

Principal AI and Data Architect (Cybersecurity): Architecting large-scale data infrastructure and advanced AI/ML frameworks to automate threat detection and enhance SOC efficiency with an accent on transforming massive security telemetry into actionable intelligence. Focus on leveraging ML Models, LLMs, and AI agents to drastically reduce manual analyst workloads.

Location: Remote - USA

Salary: $133,000 - $235,000 USD

Company

hirify.global is a pioneer and global leader in zero trust security, securing users, branches, applications, data & devices and accelerating digital transformation initiatives.

What you will do

• 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.

Requirements

• 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.

Nice to have

• 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.

Culture & Benefits

• Foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging.
• Various health plans.
• Time off plans for vacation and sick time.
• Parental leave options.
• Retirement options.
• Education reimbursement.