Sr. AI Security Architect

ECS Tech Inc•Work from home, Virginia

21h

About The Position

ECS is seeking a Sr. AI Security Architect to join its Professional Services team and design and deliver AI-driven security solutions for enterprise customers. The role combines cybersecurity, real-time data processing, distributed systems, and modern AI technologies. The architect will work with customers to develop scalable security analytics, threat detection, observability, and AI-driven security capabilities, including real-time security telemetry pipelines and systems that use LLMs, AI agents, RAG, and AI guardrails to automate investigations and improve security intelligence. The position calls for an experienced architect who can work across cybersecurity, streaming data platforms, cloud-native architecture, and production AI systems, while providing technical leadership and guidance to customers and engineering teams. The role supports Professional Services engagements and takes solutions from architecture through production deployment.

Requirements

Strong experience architecting and building large-scale distributed systems and real-time streaming platforms.
Hands-on experience with Kafka, Apache Flink, Apache Spark, or comparable streaming technologies.
Strong background in cybersecurity, threat detection, security analytics, security telemetry, and/or observability.
Experience developing or architecting AI-powered security, observability, or analytics platforms.
Hands-on experience with LLMs, RAG, AI agents, and production AI applications.
Experience implementing AI security controls and guardrails for production applications.
Strong programming experience with Python, Java, Scala, and/or Go.
Experience designing highly scalable, low-latency, event-driven architectures.
Experience with Kubernetes, containers, microservices, and cloud-native architecture.
Strong understanding of software architecture, system performance, reliability, and performance optimization.
Experience designing and delivering production systems in enterprise environments.
Strong customer-facing communication, architecture, and technical leadership skills.
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience.
Willingness and ability to travel to customer sites as needed.
Must be a U.S. Citizen and eligible to obtain a U.S. Security Clearance.

Responsibilities

Architect and develop AI-powered security solutions for enterprise customers.
Design scalable, low-latency data pipelines for ingesting and analyzing security telemetry in real time.
Develop AI-driven threat detection, anomaly detection, and security analytics capabilities.
Design and implement secure AI agents, RAG architectures, and guardrails for enterprise security workflows.
Architect scalable observability and security intelligence platforms.
Design distributed and event-driven architectures using technologies such as Kafka, Apache Flink, and Apache Spark.
Integrate AI/ML capabilities with cybersecurity platforms, telemetry sources, APIs, and enterprise data systems.
Design cloud-native solutions using Kubernetes, containers, microservices, and modern cloud platforms.
Evaluate emerging AI, security, and distributed computing technologies and establish architectural standards and best practices.
Work with engineering, product, security, and customer teams to take AI security solutions from architecture through production deployment.
Provide technical leadership and mentorship on AI, security, distributed systems, and software architecture.
Document solution architectures, design patterns, implementation approaches, and technical best practices.
Support Professional Services engagements and ensure technical deliverables meet customer requirements and expectations.