Principal AI And Data Architect (AI Engineering)

TL;DR

Principal AI and Data Architect (AI Engineering): Architecting large-scale data infrastructure and advanced AI/ML frameworks to automate threat detection and enhance SOC efficiency with an accent on transforming security telemetry into actionable intelligence using ML Models, LLMs, and AI agents. Focus on reducing manual analyst workloads by integrating ML-driven insights into the platform and applying automation and analytics.

Location: Remote - USA

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

Company

hirify.global is a pioneer and global leader in zero trust security.

What you will do

• Lead the design and implementation of large-scale data architectures for cloud-based systems (AWS, Azure).
• Spearhead advanced AI/ML initiatives, including Generative AI, to develop end-to-end AI solutions for SOC automation, threat detection, and threat hunting.
• Drive the use of Large Language Models (LLMs) and AI Agents to enhance the enrichment of security data, enabling faster human decision-making.
• 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.

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

• Comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages.
• Various health plans.
• Time off plans for vacation and sick time.
• Parental leave options.
• Retirement options.
• Education reimbursement.