AI-Assisted Cyber Analysis Specialist

🔥 18 hours ago

🇺🇸 United States – Remote

💵 $90.3k - $189.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 0%

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CACI International Inc

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1962

🎖️ Defense

🏛️ Government

🔒 Cybersecurity

🔥 Funding within the last year

💰 $500M Post-IPO Debt on 2026-02

Defense • Government • Cybersecurity

CACI International Inc is a U. S. -based government contractor that provides technologies and professional services to national security, defense, and federal civilian customers. CACI delivers solutions across cyber and digital operations, enterprise IT modernization, electronic warfare, counter-unmanned systems (C-UxS), space and optical communications, agile DevSecOps software development, and mission engineering and logistics support. The company positions itself as a large prime contractor that uses advanced software, analytics, sensing, and hardware to detect and counter evolving threats and modernize government technology architectures.

📋 Description

• Design human-in-the-loop AI-assisted workflows to classify, enrich, correlate, summarize, and prioritize large volumes of cyber artifacts • Build Python services, tools, APIs, prompts, schemas, retrieval pipelines, and evaluation harnesses using approved model endpoints and data stores • Integrate deterministic security tools and rules with AI-assisted triage • Measure precision, recall, false-positive and false-negative rates, latency, cost, drift, and analyst time saved • Document acceptance thresholds and rollback paths • Enforce access controls, approved model boundaries, provenance, audit logs, redaction, prompt-injection defenses, and safe handling of untrusted code and artifacts • Present structured findings and uncertainty to security analysts • Support manual validation and capture analyst feedback for continuous improvement • Maintain technical documentation, test datasets, model/workflow versions, and reproducible release processes • Provide continuous technical assessment support for proactive testing of externally and internally visible federal cyber assets • Conduct continual assessments of .gov domains, subdomains, and internet-facing assets • Uncover unknown exposures, validate vulnerabilities, and provide actionable remediation guidance • Support the CDM Program mission to safeguard federal IT networks and strengthen the security posture of government networks

🎯 Requirements

• U.S. citizenship is required • Eligibility for access to sensitive information and ability to obtain a Public Trust fitness determination (High Risk) • Ability to work in customer-provided remote environments and comply with rules of engagement, data-handling requirements, evidence controls, deconfliction procedures, and stop-work criteria • Five or more years of combined cybersecurity analysis, security engineering, software/data engineering, or applied AI/ML experience, including production automation used by analysts or operators • Strong Python, API, data-processing, testing, and source-control skills • Experience handling structured and unstructured technical artifacts at scale • Practical knowledge of vulnerability assessment, attack paths, source-code or configuration analysis, malware/artifact triage, or security-tool outputs • Experience building and evaluating AI/ML or LLM-assisted workflows with human review, grounding/provenance, structured outputs, and measurable quality controls • Understanding of AI security risks including data leakage, prompt injection, untrusted content, model hallucination, authorization, auditability, and secure deployment • Ability to communicate limitations and uncertainty clearly and produce maintainable technical documentation • Desired: Experience with agentic workflow frameworks, retrieval-augmented generation, vector search, model evaluation/observability, or secure model gateways • Desired: Experience with Semgrep, CodeQL, YARA, Sigma, SAST/DAST, SBOM, malware-analysis, vulnerability-management, or exposure-management data • Desired: Familiarity with MITRE ATLAS, NIST AI RMF, secure AI development, adversarial testing, and AI red-team practices • Desired: AWS/Azure AI and data services, container/Kubernetes, CI/CD, data-lake, Splunk/Elastic, or graph-analytics experience • Desired: Relevant cloud, data, AI/ML, or cybersecurity certifications

🏖️ Benefits

• Flexible time off benefit • Robust learning resources • Healthcare benefits • Wellness benefits • Financial benefits • Retirement benefits • Family support benefits • Continuing education benefits • Time off benefits • Competitive compensation • Learning and development opportunities