graphiant
AI Security Architect (Contractor)
United States · Contract
Sponsorship not specifiedDetected 11 days ago
PythonJavaScalaDistributed SystemsKubernetesKafkaSparkData EngineeringLLMsRAGAgentic AICybersecurityDetection EngineeringLeadershipCommunicationCollaboration
About the role
- Job Description Enterprise networking is evolving into intelligent, autonomous infrastructure, and Graphiant is leading that transformation.
- This role will architect large-scale streaming data systems that leverage AI to identify threats, automate investigations, and provide real-time security intelligence across enterprise environments.
Responsibilities
- 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.
- Ability to build highly scalable, low-latency enterprise platforms.
- Experience building large-scale distributed systems and streaming data platforms.
- Experience developing AI-powered security, observability, or analytics platforms.
- Experience building enterprise security products or cybersecurity platforms is highly desirable.
Requirements
- Expertise in distributed systems and real-time streaming architectures.
- 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.
- 10+ years of software engineering or systems architecture experience.
- Hands-on experience with Kafka, Apache Flink, Spark, or similar streaming technologies.
- Experience with LLMs, agentic AI frameworks, and production AI applications.
- 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 a related technical field, or equivalent practical experience.
Skills
- Enterprise networking is evolving into intelligent, autonomous infrastructure, and Graphiant is leading that transformation.
- Evaluate emerging AI technologies and establish architectural standards and best practices.
Company info
- Architect and develop AI-powered security capabilities for enterprise customers.
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This listing is sourced directly from graphiant's careers page and normalized into a canonical job model.