Kforce Inc
Overview
AI Security Engineer position with a focus on building secure AI capabilities and integrating security controls for AI workloads. Location: Short Hills, NJ. Compensation is described in the pay range below and is based on skills and experience.
Base pay range $59.50/hr - $80.50/hr
Responsibilities
Build secure AI access layers (Python) for internal use and service-to-service scenarios: request/response inspectors, output redaction, rate limiting, and audit logging. Integrate with sensitivity labels/DLP and identity controls where applicable.
Develop agent safety patterns (for orchestration frameworks) including tool use allow lists, function sandboxing, constrained retrieval, and memory hygiene; create reusable modules for product teams.
Implement and operate evaluation pipelines (red team prompts, jailbreak detection, toxicity/PII checks, hallucination/grounding scores) as part of CI/CD-gating releases on eval thresholds; capture artifacts for 5Rs evidence.
Engineer GCP security controls for AI workloads: VPC Service Controls, private service connect, service account hygiene, Workload Identity Federation, CMEK, Secret Manager, Cloud Build/Artifact Registry policies, Cloud Logging/Monitoring/SCC alerting.
Harden data pipelines feeding models (poisoning/tamper detection, provenance/lineage, RBAC/ABAC, DLP), working with data engineering teams.
Automate controls (policy as code) to enforce least privilege, environment isolation, egress controls, and artifact signing; integrate with existing SAST/DAST/SCA and threat modeling workflows.
Contribute to Copilot security enablement: configure Purview sensitivity, Copilot DLP, Restricted Access sites, and Conditional Access for AI apps; validate via test plans.
Ingest architecture diagrams, data flow specs and service metadata to produce LLM-assisted security use-cases.
Engineer autonomous/assisted SOC agents to ingest alerts from Defender XDR/Sentinel and approved third-party sources, perform enrichment.
Qualifications
Strong software engineering in Python (frameworks, testing, packaging) with experience building secure services/middle tiers and AI agent integrations.
Hands-on Google Cloud expertise (IAM, GKE/Cloud Run, Cloud Build, Artifact Registry, Secret Manager, VPC SC, SCC) and DevOps (IaC, CI/CD, policy as code).
Practical knowledge of AI threats & mitigations (prompt injection filters, content moderation, output redaction, token-level guardrails, secrets hygiene, model endpoint hardening).
Familiarity with enterprise collaboration controls (Purview labels, DLP for Copilot, restricted access sites) and how to test their efficacy.
Nice To Have
Experience wiring evaluations/red team harnesses into CI (e.g., blocking merges on eval regressions); exposure to EU AI Act/GDPR implications for logging/telemetry and DPIAs.
Knowledge of SAST/DAST/SCA and dependency governance aligned to SDLC standards.
Benefits and Notices We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Message frequency may vary and standard message/data rates may apply. You may opt out at any time.
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Base pay range $59.50/hr - $80.50/hr
Responsibilities
Build secure AI access layers (Python) for internal use and service-to-service scenarios: request/response inspectors, output redaction, rate limiting, and audit logging. Integrate with sensitivity labels/DLP and identity controls where applicable.
Develop agent safety patterns (for orchestration frameworks) including tool use allow lists, function sandboxing, constrained retrieval, and memory hygiene; create reusable modules for product teams.
Implement and operate evaluation pipelines (red team prompts, jailbreak detection, toxicity/PII checks, hallucination/grounding scores) as part of CI/CD-gating releases on eval thresholds; capture artifacts for 5Rs evidence.
Engineer GCP security controls for AI workloads: VPC Service Controls, private service connect, service account hygiene, Workload Identity Federation, CMEK, Secret Manager, Cloud Build/Artifact Registry policies, Cloud Logging/Monitoring/SCC alerting.
Harden data pipelines feeding models (poisoning/tamper detection, provenance/lineage, RBAC/ABAC, DLP), working with data engineering teams.
Automate controls (policy as code) to enforce least privilege, environment isolation, egress controls, and artifact signing; integrate with existing SAST/DAST/SCA and threat modeling workflows.
Contribute to Copilot security enablement: configure Purview sensitivity, Copilot DLP, Restricted Access sites, and Conditional Access for AI apps; validate via test plans.
Ingest architecture diagrams, data flow specs and service metadata to produce LLM-assisted security use-cases.
Engineer autonomous/assisted SOC agents to ingest alerts from Defender XDR/Sentinel and approved third-party sources, perform enrichment.
Qualifications
Strong software engineering in Python (frameworks, testing, packaging) with experience building secure services/middle tiers and AI agent integrations.
Hands-on Google Cloud expertise (IAM, GKE/Cloud Run, Cloud Build, Artifact Registry, Secret Manager, VPC SC, SCC) and DevOps (IaC, CI/CD, policy as code).
Practical knowledge of AI threats & mitigations (prompt injection filters, content moderation, output redaction, token-level guardrails, secrets hygiene, model endpoint hardening).
Familiarity with enterprise collaboration controls (Purview labels, DLP for Copilot, restricted access sites) and how to test their efficacy.
Nice To Have
Experience wiring evaluations/red team harnesses into CI (e.g., blocking merges on eval regressions); exposure to EU AI Act/GDPR implications for logging/telemetry and DPIAs.
Knowledge of SAST/DAST/SCA and dependency governance aligned to SDLC standards.
Benefits and Notices We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Message frequency may vary and standard message/data rates may apply. You may opt out at any time.
#J-18808-Ljbffr