Drimva

AHEAD

Principal Technical Consultant – Forward Deployed Engineer, AI Security

$200K–$230K

United States · Remote · Principal · Full-time · Posted Sep 28, 2026

Experience
10+ years; no alternative stated.
Education
Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience.

About the job

Leads customer-facing deployment and operationalization of AI security solutions, integrating controls and tooling into production AI systems and workflows.

What you'll do

  • Design and implement AI security architectures, integrations, telemetry pipelines, and reusable deployment patterns.
  • Operationalize security controls for AI systems, including prompt injection defense, access controls, data leakage prevention, and agent monitoring.
  • Lead customer engagements, technical proposals and statements of work, and cross-functional delivery.

What they ask for

  • 10+ years of experience in security engineering, AI engineering, platform engineering, forward deployed engineering, solutions consulting, or related technical roles, with progression to principal or senior consulting level.
  • Hands-on experience securing AI systems, LLM applications, or AI production pipelines.
  • Experience deploying cloud-native architectures on at least one major cloud provider, and strong background in AI security data integration and analytics workflows.
  • Customer-facing implementation experience and proven ability to develop technical proposals, statements of work, and scoping documents.

Nice to have

  • Experience with AI red teaming, adversarial testing, or AI governance frameworks; familiarity with MITRE ATLAS.
  • Experience in regulated environments, infrastructure as code, CI/CD, reusable implementation frameworks, or relevant certifications.

Pay

USD 200,000–230,000 (per-year-salary), OTE (includes base salary and any applicable target bonus amount)

Tools

AWS, Azure, GCP, NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM Applications, MITRE ATLAS

AI focus

Deploys and secures AI systems, LLM applications, production pipelines, and agentic workflows; implements AI security controls, telemetry, monitoring, red teaming, and operational guardrails.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)