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Open nowFirst seen 1 hour ago

Sr. AI Security Architect

ECS FEDERAL LLC278 open roles

Where
Work from home, VA, USA
Work mode
Remote
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Your applicationOpen nowSr. AI Security ArchitectECS FEDERAL LLC · Work from home, VA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ECS FEDERAL LLC's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. ECS FEDERAL LLC postings stay open a median of 7 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: first seen 1 hour ago

ECS FEDERAL LLC median: 7 days open

The posting

ECS is seeking a skilled Sr. AI Security Architect to join our Professional Services team. This position will support the design and delivery of AI-driven security solutions for enterprise customers, combining cybersecurity, real-time data processing, distributed systems, and modern AI technologies.

As a member of our team, you will work with customers to architect and develop scalable security analytics, threat detection, observability, and AI-driven security capabilities. You will design real-time data pipelines capable of processing security telemetry at enterprise scale while leveraging LLMs, AI agents, RAG, and AI guardrails to automate investigations and improve security intelligence.

This role is ideal for an experienced architect who is equally comfortable working across cybersecurity, streaming data platforms, cloud-native architecture, and production AI systems, while providing technical leadership and guidance to customers and engineering teams. This positioning closely reflects the core requirements in the attached

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 directly 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.
  • 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.
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