AI Security Architect – Contractor

Job not on LinkedIn

🕒 6 days ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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Graphiant

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🔒 Cybersecurity

🤝 B2B

💰 Non Equity Assistance on 2024-03

Network as a Service • Cybersecurity • B2B

Graphiant is a technology company that offers Network-as-a-Service (NaaS) solutions for enterprises, focusing on agile and secure connectivity across complex networks. Their services enable businesses to provision, manage, and scale network connections quickly and efficiently, ensuring data governance and security for data in motion. Graphiant aims to simplify networking challenges by providing high-performance, affordable, and fast connectivity solutions that meet the demands of modern business environments.

📋 Description

• Architect and develop AI-powered security capabilities for enterprise customers • Design real-time data pipelines for ingesting and analyzing security telemetry at scale • Build AI-driven threat detection, anomaly detection, and security analytics services • Develop secure AI agents and guardrails for customer-facing security workflows • Design scalable observability and security intelligence platforms • Collaborate with engineering, product, and security teams to deliver production AI security solutions • Evaluate emerging AI technologies and establish architectural standards and best practices • Provide technical leadership and mentor engineering teams on AI and distributed systems architecture

🎯 Requirements

• 10+ years of software engineering or systems architecture experience • Expertise in distributed systems and real-time streaming architectures • Strong background in cybersecurity, threat detection, and observability platforms • Experience designing AI-powered security and analytics solutions • Deep knowledge of Kafka, Flink, Spark, and event-driven architectures • Experience with LLMs, AI agents, RAG, and AI guardrail frameworks • Strong programming experience in Java, Scala, Python, or Go • Experience with Kubernetes, cloud-native architectures, and microservices • Bachelor's degree in Computer Science, Software Engineering, or related technical field • Experience building enterprise security products or cybersecurity platforms is highly desirable

🏖️ Benefits

• Health insurance • 401(k) • Professional development