SENIOR DATA-INTEGRATION & AI SECURITY ARCHITECT

Zermount, IncArlington, VA
$205,000 - $245,000Hybrid

About The Position

We are looking for a highly talented, technical, hands-on Senior Data-Integration & AI Security Architect to help accelerate our growing Professional Services business within the Government Sector. You will design and build the integration layer that moves security telemetry, evidence, and machine-readable authorization artifacts between cloud-native sources, CI/CD pipelines, enterprise security tools, and a governance, risk, and compliance (GRC) platform - and lead adversarial security testing of AI and SaaS products entering the enterprise - in support of a federal continuous Authorization to Operate (cATO) program.

Requirements

  • High level of attention to detail, needs minimal guidance, effective verbal and written communication.
  • 15+ years architecting enterprise data and integration platforms, including real-time streaming (Apache Flink, Spark, Kafka/MSK or equivalent) on AWS.
  • Hands-on integration/connector and API engineering with schema mapping across heterogeneous sources (cloud, scanner, SIEM, ITSM).
  • Demonstrated AI/LLM security testing (e.g., Promptfoo): prompt injection, jailbreak, RAG leakage, and guardrail validation.
  • Proficiency in Python, Java, and/or Scala; Kubernetes/EKS, Terraform, and CI/CD.
  • Working knowledge of NIST SP 800-53 and machine-readable compliance (OSCAL).
  • Ability to pass a minimum background investigation.

Nice To Haves

  • Familiarity with security observability (OpenSearch/Elasticsearch, OpenTelemetry) and event-driven/agentic AI workflows a plus.
  • An active Secret Clearance is preferred.

Responsibilities

  • Design and build pipelines (Apache Flink, Spark, Kafka/MSK) that ingest, normalize, deduplicate, and fuse security telemetry from cloud-native services, CI/CD, and enterprise tools into a unified evidence model.
  • Architect the canonical data model reconciling two authoritative systems of record (GRC platform and agency system of record) - field mappings, identifier strategy, and precedence/conflict rules.
  • Build OSCAL-aligned export and validation tooling for control and authorization artifacts.
  • Lead adversarial testing - prompt injection, jailbreak, RAG/vector-DB leakage, and model or tool/agent misuse - and validate guardrails for AI and SaaS products.
  • Stand up streaming detection and log normalization, correlation, and alerting to support continuous monitoring.
  • Build and deploy on AWS (GovCloud), Kubernetes/EKS, with Terraform and CI/CD.
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