Sr. AI Security Architect

Job Description

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.

Required Skills

• 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.

Desired Skills

• 10+ years of software engineering, systems architecture, or equivalent technical experience.
• Experience building enterprise cybersecurity products, SIEM platforms, security analytics platforms, or threat-detection systems.
• Experience applying AI/ML to security telemetry, behavioral analytics, anomaly detection, threat detection, or automated investigation.
• Experience applying GenAI to enterprise search, observability, or security data.
• Experience with vector, semantic, and lexical search techniques.
• Experience with Elasticsearch Enterprise Search use cases.
• Familiarity with AgentAI Builder or other agent-based AI architectures.
• Experience with agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
• Experience with vector databases, embeddings, semantic search, and enterprise RAG architectures.
• Knowledge of AI security concepts including prompt injection, data leakage prevention, model access controls, AI governance, and secure agent/tool interaction.
• Experience with observability platforms and large-scale telemetry ingestion.
• Experience with AWS, Azure, and/or GCP enterprise architectures.
• Experience with Infrastructure as Code and CI/CD technologies such as Terraform, GitHub Actions, GitLab CI/CD, or equivalent.
• Experience working in a consulting, Professional Services, or customer-facing architecture role.
• Experience translating customer security requirements into scalable technical architectures.
• Strong technical documentation, whiteboarding, presentation, and customer communication skills.
• Relevant certifications such as:
• AWS Certified Solutions Architect - Professional
• AWS Certified Machine Learning Engineer - Associate
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure AI Engineer Associate
• Certified Kubernetes Administrator (CKA)
• CISSP
• Relevant Elastic, Confluent/Kafka, Databricks, or cloud security certifications

#EverforthECS1

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

Everforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:

• Attracting and developing top talent and high-performing teams
• Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!