AI-Assisted Cyber Analysis Specialist

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design human-in-the-loop AI-assisted workflows to classify, enrich, correlate, summarize, and prioritize large volumes of cybersecurity artifacts, including code, configurations, findings, scan results, and supporting evidence.
• Build and maintain Python-based services, tools, APIs, prompts, schemas, retrieval pipelines, and evaluation frameworks using customer-approved AI model endpoints and data stores.
• Integrate deterministic security technologies and rules, including SAST/DAST, Semgrep, YARA, Sigma, SBOM, vulnerability, and configuration analysis, with AI-assisted workflows rather than relying solely on model-generated outputs.
• Establish measurable quality controls by monitoring precision, recall, false positives, false negatives, latency, cost, workflow drift, and analyst time saved, while documenting acceptance thresholds and rollback procedures.
• Protect sensitive information through appropriate access controls, approved model boundaries, provenance tracking, audit logging, redaction, prompt-injection defenses, and secure handling of untrusted code and artifacts.
• Present structured findings and uncertainty to security analysts, facilitate manual validation, and incorporate analyst feedback into continuous workflow improvement.
• Maintain technical documentation, test datasets, workflow and model versions, and reproducible release processes.
• Provide continuous technical assessment support for federal cyber assets, including .gov domains, subdomains, and internet-facing systems, to identify exposures, validate vulnerabilities, and support actionable remediation guidance.

Requirements:

• U.S. citizenship is required, along with eligibility to access sensitive information and the ability to obtain a High Risk Public Trust fitness determination.
• Ability to work within customer-provided remote environments, use approved tools, and comply with rules of engagement, data-handling requirements, evidence controls, deconfliction procedures, and stop-work criteria.
• Five or more years of combined experience in cybersecurity analysis, security engineering, software or data engineering, or applied AI/ML, including experience delivering production automation used by analysts or operators.
• Strong Python, API development, data-processing, testing, and source-control skills, with experience managing structured and unstructured technical artifacts at scale.
• Practical knowledge of vulnerability assessment, attack paths, source-code or configuration analysis, malware or security-artifact triage, or security-tool outputs sufficient to validate analytical results.
• Demonstrated experience building and evaluating AI/ML or LLM-assisted workflows with explicit human review, grounding and 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.
• Strong communication skills, with the ability to explain technical limitations and uncertainty clearly and produce maintainable technical documentation.
• Experience with agentic workflow frameworks, retrieval-augmented generation, vector search, model evaluation and observability, or secure model gateways in approved enterprise environments is preferred.
• Familiarity with Semgrep, CodeQL, YARA, Sigma, SAST/DAST, SBOM, malware analysis, vulnerability management, or exposure management data is preferred.
• Knowledge of MITRE ATLAS, NIST AI RMF, secure AI development, adversarial testing, or AI red-team practices is preferred.
• Experience with AWS or Azure AI and data services, containers/Kubernetes, CI/CD, data lakes, Splunk/Elastic, or graph analytics is preferred.
• Relevant cloud, data, AI/ML, or cybersecurity certifications are desirable.
• Minimum clearance required to start: TS/SCI.
• Ability to travel within the Continental U.S. up to 10% as required.

Benefits:

• National salary range of $90,300–$189,600, with final compensation influenced by geographic location, applicable federal contract labor categories and wage rates, prior experience, skills, education, and certifications.
• Full-time employment with competitive compensation and benefits.
• Healthcare and wellness benefits.
• Financial and retirement benefits.
• Family support resources.
• Continuing education and learning and development opportunities.
• Flexible time off designed to support work-life balance.
• Remote work arrangement available from any U.S. state.
• Opportunities to contribute to mission-critical federal cybersecurity initiatives and advance secure AI-enabled security analysis.
• Access to professional growth opportunities in cybersecurity, AI/ML, and emerging technology.