Hybrid Zero Trust AI/ML Architect

etelligentgroup; Bethesda (MD); Hybrid; USD 150,000 - 160,000; Full time

Job summary

eTel seeks a senior AI/Zero Trust architect to lead NIH GRC ZTA projects, identifying AI-enabled use cases and developing architectures for NIH OCIO. Work in the Architecture Pod to design enforcement signals under NIH governance and data policies, ensuring AI complies with governance requirements.

Required: 8+ years in AI/ML use-case design, security telemetry experience, Python and ML frameworks, and NIH suitability with PIV credential. U.S. citizenship essential.

Qualifications

• Bachelor's degree in computer science, data science, or related field with 8+ years of AI/ML experience.
• Experience designing risk or trust-scoring models on security telemetry (identity, endpoint, network, or SIEM data).
• Working knowledge of the NIST AI RMF 1.0 and federal AI governance expectations.
• Hands-on Python and ML framework experience.
• Ability to obtain an NIH suitability determination and PIV credential; fluent in English.

Responsibilities

• Lead a six-week discovery with ISAO, GRC, OITA, and CIT to build the AI Use Case Inventory across ZTA pillars (Subtask 3.1, due at 120 days).
• Score each use case on risk reduction, feasibility with NIH's current telemetry, mission impact, and data-governance readiness, then tier it as deploy now, design next, or watch.
• Record for each use case its NIST AI RMF 1.0 function (Govern, Map, Measure, Manage), data classification, human-in-the-loop requirement, and OMB AI use-case inventory disposition.
• Produce the AI technical architectures (Subtask 3.2): data-flow diagrams; model requirements (inputs, features, retraining cadence, drift thresholds); trust-scoring logic written as policy-as-code that the Policy Engine can consume; and integration patterns for identity-provider risk APIs, endpoint compliance evaluation, network policy controllers, and SOAR playbooks.
• Design use cases such as continuous authentication risk scoring, credential-misuse detection, device risk classification from EDR/MDM telemetry, API and workload-identity anomaly detection, ML classification of PHI/PII/research data, UEBA for insider risk, and AI-assisted SOAR triage.
• Extend Zero Trust to AI agents and copilots: authorization of individual agent actions and tool calls, data-leakage controls, and prompt-injection risk.
• Define and run the Subtask 3.3 measurement protocol (detection rate, false-positive rate, time to detect, analyst hours saved, enforcement latency) in controlled evaluations on NIH telemetry. Recommend whether each capability should enforce or stay advisory.

Skills

AI/ML use-case design

Security telemetry

Python

NIST AI RMF

Education

Bachelor's degree in computer science, data science, or related field

Tools

Python

ML frameworks

Splunk

Microsoft Sentinel

Defender/CrowdStrike

Job description

eTel seeks a senior AI/Zero Trust architect to lead NIH GRC ZTA projects, identifying AI-enabled use cases and developing architectures for NIH OCIO. Work in the Architecture Pod to design enforcement signals under NIH governance and data policies, ensuring AI complies with governance requirements.

Required: 8+ years in AI/ML use-case design, security telemetry experience, Python and ML frameworks, and NIH suitability with PIV credential. U.S. citizenship essential.