×
Register Here to Apply for Jobs or Post Jobs. X

Senior Lead Security Engineer, AI

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: 慨正橡扯
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

JOB DESCRIPTION Job Summary

As a Senior Lead AI Security Engineer in our Cybersecurity team, you will design and deliver secure artificial intelligence solutions that support critical cyber use cases. You will play a key role in shaping platform standards and governance, collaborating with cross‑functional teams, and driving innovation in secure AI. Together, we will build foundational capabilities and create lasting impact for our organization and the wider community.

Job Responsibilities
  • Lead end‑to‑end design and delivery of AI solutions for cyber use cases, from problem framing and data integration to model development, evaluation, deployment, and monitoring.
  • Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM, CMDB, code repos, and cloud telemetry.
  • Establish engineering standards for secure AI: prompt security, tool/function calling patterns, input/output validation, PII masking, secrets handling, and deterministic fallbacks.
  • Create evaluation harnesses with offline/online metrics, golden datasets, adversarial prompt sets, jailbreak tests, and safety/quality KPIs.
  • Partner with platform teams to stand up reusable AI components: LLM gateways, vector stores, feature stores, evaluation/observability, and governance workflows.
  • Implement drift and quality monitoring; define SLAs/SLOs; build incident response runbooks for AI‑enabled services.
  • Collaborate with risk and MRGR‑style governance partners to meet documentation, validation, and attestations; maintain model/AT inventories, monitoring plans, and change logs.
  • Deliver measurable impact: reduce MTTR, improve detection precision, automate control evidence collection, and accelerate secure engineering.
  • Mentor engineers and analysts; publish playbooks, templates, and safe prompt libraries; lead brown‑bags and office hours for adoption.
  • Drive a roadmap of 2–3 flagship capabilities per year (e.g., SOC triage assistant, controls automation agent, Dev Sec Ops  code copilot).
Required Qualifications , Capabilities, and Skills
  • Minimum 7 years of software/security engineering, including hands‑on experience in one or more of: detection engineering, Sec Ops, App Sec/Dev Sec Ops , or cloud security.
  • Minimum 3 years building and operating applied ML/LLM systems in production (RAG pipelines, embeddings, fine‑tuning/specialization, vector databases, model serving).
  • Proficiency in Python and at least one of:
    Java, Scala, or Type Script; experience with microservices, APIs, containers, and Kubernetes.
  • Familiarity with SIEM, EDR, SOAR, IAM, and ITSM integrations; streaming/data engineering with Kafka or similar.
  • Experience with LLM orchestration and guardrails (prompt engineering, injection defense, tool calling, safety filters).
  • Hands‑on with ML/LLM ecosystems:
    PyTorch or Tensor Flow; scikit‑learn;
    Lang Chain/Llama Index; ONNX/Triton/Ray.
  • Strong understanding of secure SDLC, privacy, and data protection; ability to partner with governance to meet documentation and monitoring requirements.
  • Demonstrated ability to ship secure, reliable AI features with clear metrics and post‑deployment monitoring.
Preferred Qualifications , Capabilities, and Skills
  • Experience building developer copilots for App Sec/Dev Sec Ops  (IaC scanning, secrets detection, SAST/DAST triage).
  • Cloud security engineering across one or more major providers;
    IaC and policy‑as‑code.
  • Experience or exposure to Cyber operations, Adversarial ML and LLM red teaming experience (prompt injection, data exfiltration, model abuse, poisoning defenses).
  • Graph ML for identity/threat detection; anomaly detection over telemetry.
  • GPU optimization, model quantization/distillation, and on‑prem/private model deployment.
  • Familiarity with governance for AI/ML systems in regulated environments.
Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and…

Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary